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HIGH-SPEED COMPUTING DEVICES
HIGH-SPEED
COMPUTING DEVICES
By the staff of
ENGINEERING RESEARCH ASSOCIATES, INC.
■jf
Supervised by
C. B. Tompkins
and
J. H. Wakelin
Edited by
W. W. Stifler, Jr.
First Edition
McGRAW-HILL BOOK COMPANY, INC.
NEW YORK TORONTO LONDON
1950
HIGH-SPEED COMPUTING DEVICES
Copyright, 1950, by the McGraw-Hill Book Company, Inc. Printed in the
United States of America. All rights reserved. This book, or parts thereof,
may not be reproduced in any form without permission of the publishers.
THE MAPLE PRESS COMPANY, YORK, PA.
FOREWORD
This volume represents the cooperative efforts of a number of
members of the staff of Engineering Research Associates, Inc.
C. B. Tompkins planned the report from which this volume has
evolved and prepared much of the initial draft. The report was
completed by the staff under the direction of J. H; Wakelin and
was edited for publication in its present form by W. W. Stifler, Jr.
Other contributing authors from the staff of this company were
W. R. Boenning, W. W. Butler, A. A. Cohen, E. C. Olofson,
L. R. Steinhardt, and Erwin Tomash.
The contents of this volume were first assembled in the form of
a report to the Office of Naval Research, prepared under a provi-
sion of contract N6-ONR-240, Task 1, which called for "an
investigation and report on the status of development of comput-
ing machine components." Publication in the present form came
about as a result of a suggestion of Dr. Mina Rees, then head of
the Mathematical Sciences Division of the Office of Naval
Research, who felt that publication over a wider range would be
worth while. The cooperation and assistance of the Mathe-
matical Sciences Division of ONR in bringing about the publica-
tion of this volume is gratefully acknowledged.
As those readers who are familiar with this field know, many
of the large-scale computing machines already built or under
construction have been under Government sponsorship. The
two principal all-electronic machines now in operation, the Har-
vard Mark III and the ENIAC, were sponsored by the Navy
Bureau of Ordnance and the Army Ordnance Department
respectively. The names of many of the men who have developed
computing components and machines are mentioned in this text.
Many of their developments have been made possible by those
representatives of the sponsoring agencies, both civilian and mili-
tary, whose foresight and whose confidence in the future of
computing have made them willing to support the necessary
research and development work.
H. T. Engstrom
Vice-President
Arlington, Va. Engineering Research Associates, Inc.
May, 1950
PREFACE
This volume is primarily a discussion of the mechanical devices
and electrical circuits which can be incorporated into computing
machines. It is not a detailed comparison of various machines.
However, we have included descriptions of a few computers, to
provide examples of the integration of techniques and compon-
ents into complete systems. Because the computers built in
this country are so much more familiar to the authors than those
which have been built or planned in England or in other coun-
tries, we have used American machines as examples.
A list of all those leaders in the computing machine field with-
out whose assistance this book could not have been written,
would assume the proportions of a separate bibliography. We
are therefore omitting such a list, at the same time acknowledg-
ing with sincere thanks and appreciation the personal assistance
of many of the men whose names do appear in the various chapter
references and bibliography lists.
In the preparation of this manuscript and the correction of
the proofs the assistance of Bettie Frankl, Nancy Hall, Ann Kelley,
and Irene Painter has been vital. We are indebted to Francis X.
Kennelly for drawing most of the figures in this text, and to
Harvey L. Waterman for the circuit diagrams in some of the
earlier chapters.
The Authors
Arlington, Va.
May, 1950
Vll
CONTENTS
Foreword . . v
Preface vii
Part I. The Basic Elements of Machine Computation
Chapter 1. Introduction 3
References 5
Chapter 2. Preliminary Considerations 6
2-1. Basic Components of Automatic Computation ... 6
Chapter 3. Counters as Elementary Components 12
3-1. Introduction 12
3-2. Mechanical and Electromechanical Devices .... 12
3-3. The Flip-flop Principle 13
3-4. Pulse-sensitive Flip-flop Circuits 17
3-5. Radix 2 Counters 17
3-6. The r-triode Counter, Modulo r 20
3-7. The 2r-triode Counter, Modulo r 23
3-8. Other Types of Flip-flop and EPDCC 25
3-9. Economic Considerations 28
References 29
Chapter 4. Switches and Gates 32
4-1. Introduction 32
4-2. Switch Functions in Computers 32
4-3. Types of Switches 34
4-4. Inverse Gates, or Buffers 44
4-5. Assemblies of Gates, Buffers, and EPDCC's ... 45
References 54
Chapter 5. A Functional Approach to Machine Design . . 56
5-1. Introduction 56
5-2. An Example 58
ix
x CONTENTS
5-3. Machine Requirements 62
5-4. Stereotyped Commands for the General-purpose
Machine 64
5-5. Plan for General-purpose Machine 72
References 73
Chapter 6. Arithmetic Systems 74
6-1. Introduction 74
6-2. The Fundamental Counting Systems 74
6-3. Examples of Counting Systems 75
6-4. Three Fundamental Theorems 77
6-5. Rules of Arithmetic for Numbers with a Single Radix 80
6-6. A Note Concerning Binary-to-octal Conversion . . 83
6-7. Economy Attained by Radix Choice 84
6-8. Negatives and Complements 87
6-9. Scale Factors and Radical Points 89
6-10. Binary Division — A Special Case 91
6-11. Alternate Arrangements — Linear Mappings. ... 94
6-12. Note on Round-off Error . . . .' 95
6-13. Appendix 96
References 99
Chapter 7. Numerical Analysis 100
7-1. Introduction 100
7-2. The Process of Interpolation 100
7-3. Numerical Differentiation 109
7-4. Numerical Integration Ill
7-5. Numerical Solution of Algebraic and Transcendental
Equations 117
7-6. Numerical Solution of Ordinary Differential Equa-
tions 126
References 130
Part II. Computing Systems
Chapter 8. Desk Calculators 135
8-1. Introduction 135
8-2. General Description of the Machines 136
8-3. Operation of the Machines 136
8-4. Capacity, Speed, and Capabilities 138
8-5. Special Features 140
CONTENTS xi
8-6. Summary 142
References 143
Chapter 9. Punched-card Computing Systems 146
9-1. Introduction 146
9-2. The Punched Card 148
9-3. Input 150
9-4. Machines for Punched-card Computations 153
9-5. Computational Operations on IBM Machines ... 160
9-6. Transcription Devices 162
9-7. Acquisition of Equipment 163
9-8. Mathematical Operations to Which IBM Equipment
Is Applicable 164
9-9. IBM Card-programmed Electronic Calculator . . . 165
References 165
Bibliography 166
Chapter 10. Large-scale Digital Computing Systems . . . 182
10-1. Introduction 182
10-2. Relay Computing Systems in Operation 182
10-3. Electronic Computing Systems in Operation . . . 193
10-4. Electronic Computing Systems in Design or under
Development 200
10-5. Applications of Large-scale Digital Machines . . .213
References 218
Chapter 11. Analog Computing Systems 223
11-1. Introduction 223
11-2. Components for Analog Computation 225
11-3. The MIT Differential Analyzers 230
11-4. The General Electric Differential Analyzer. . . . 236
11-5. Electronic Differential Analyzer 237
11-6. Electrical Network Analyzers 240
11-7. Special Analog Systems 242
11-8. Applications of Analog Computers 245
References 245
Chapter 12. The Form of a Digital Computer 251
12-1. Introduction 251
12-2. The Field of Application 251
Xll CONTENTS
12-3. The Estimate of Size and Speed 252
12-4. Conclusions 260
References 261
Part III. Physical Components and Methods
Chapter 13. Arithmetic Elements 265
13-1. Introduction 265
13-2. Series versus Parallel Operation of Arithmetic Units 265
13-3. Operation Sequence Control 268
13-4. Elementary Coincidence-type Adders 269
13-5. Elementary Ring-type Adders 293
13-6. Larger Arithmetic Units 294
References 301
Chapter 14. Transfer Mediums 302
14-1. Introduction 302
14-2. Transfer in Time 310
14-3. Transfer in Space 374
References 379
Chapter 15. Data-conversion Equipment 385
15-1. Introduction 385
15-2. Analog-to-digital Converters 386
15-3. Digital-to-analog Converters 393
15-4. Conversion of Data from Written to Automatic
Machine Form 396
15-5. Transcription of Data from Automatic Machine to
Written Form 404
15-6. Radix Converters 410
15-7. Speed-changing Devices 414
References 416
Chapter 16. Special Techniques and Equipment for Possible
Use in Computing Systems 419
16-1. Introduction 419
16-2. New Techniques 419
16-3. Special Electronic Tubes and Crystals 421
16-4. Amplitude- and Frequency-discrimination Circuits 423
16-5. Frequency-stabilizing Systems 424
16-6. Unconventional Circuit Fabrication 424
References 427
CONTENTS xni
Chapter 17. Factors Affecting Choice of Equipment. . . . 430
17-1. Introduction 430
17-2. Reliability of Components 430
17-3. Possibilities for Checking 434
17-4. Size, Cost, and Speed 439
References 440
Index 441
Parti
THE BASIC ELEMENTS OF
MACHINE COMPUTATION
CHAPTER 1
INTRODUCTION
Many of the practical problems of science, business, and war-
fare are essentially computational. For example, scientific and
business conclusions may be drawn by subjecting large quantities
of observational data to appropriate statistical treatment. Mili-
tary plans may be based on calculations from quantitative
hypotheses involving numbers of men, numbers of items, numbers
of distance units, and the like. The need for extensive cal-
culations in the development of science has existed and con-
tinually expanded.
The existence and importance of these and an infinite number
of other general computational problems have fostered the
development of machine aids to computation. This volume
touches on numerical methods and introduces the reader to
existing computing techniques and machines. The presentation
is intended to show how to formulate computational problems
in ways related to the physical structure of machines. The final
chapters list both the physical components of which the present-
day computing instruments are comprised and other components
most likely to find uses in the near future. A discussion of factors
governing the choice of components is included also.
The term component is used throughout this survey to define
any physical mechanism or mathematical method which is used
as a tool in automatic computation. The term is applied either
to an abstract concept or to an item of physical equipment.
The scope of this survey includes not only a treatment of the
design and operation of physical mechanisms but also the arith-
metical and analytical procedures which form the basis of solution
of problems reduced to numerical form.
Computational machines are classified as either digital or
analog computers. A digital device, as the name implies, is
one which performs mathematical operations with numbers
expressed in the form of digits which can assume only discrete
3
4 THE BASIC ELEMENTS OF MACHINE COMPUTATION
values. The results yielded by such a device are expressed in
digits. The precision of the computed results from a digital
machine depends upon the number of digits it can handle, assum-
ing that the actual operations are all performed accurately.
(This is the equivalent of assuming that the machine is not out
of order and that the operator makes no mistakes. A more
detailed discussion of the concepts of precision and accuracy is
included in Chap. 11.)
An analog computer is one in which numbers are converted
for purposes of computation into physically measurable quanti-
ties such as lengths, voltages, or angles of displacement. Com-
puted results are obtained by the interaction of moving parts or
electrical signals related in such a manner as to solve an equation
or perform a given set of arithmetical or mathematical operations.
The precision of the results which can be expected from any
given analog device, as contrasted with a digital device, depends
upon the precision with which the device is fabricated, the skill
and uniformity with which it is operated (including its depend-
ence upon outside factors such as line-voltage variations), and
the precision with which the answer can be read if the final con-
version to digital form is made by reading a calibrated scale.
In short, it is subject to the systematic and human errors which
are inherent in the use of any measuring apparatus.
A slide rule is an example of an analog computer. In this
device, lengths correspond to the logarithms of numbers. Loga-
rithms are added and subtracted, and numerical answers are read
from the scale. An example of a digital computer is the abacus.
The Chinese who uses this device assigns discrete numerical
values to the beads and obtains precise digital answers to his
problems by proper manipulation of the beads.
It is hoped that those readers who are familiar with the mathe-
matical background on which this survey has been based will
find the descriptions of physical elements and their interrelation-
ships of interest. For those well grounded in electrical engineer-
ing and particularly in electronics, it is hoped that the chapters
dealing with mathematical methods and with computing systems
will be sufficiently straightforward to require no unreasonable
special study for thorough understanding.
For those readers who are particularly interested in any
isolated phase (mathematical components, physical components,
INTRODUCTION 5
or computing systems), the following classification of the several
chapters will be found useful. The chapters in each class are
essentially independent of those in other classes.
A. General
Chapter 1. Introduction
Chapter 2. Preliminary Considerations
B. Mathematical Components
Chapter 6. Arithmetic Systems
Chapter 7. Numerical Analysis
C. Physical Components and Methods
Chapter 3. Counters as Elementary Components
Chapter 4. Switches and Gates
Chapter 13. Arithmetic Elements
Chapter 14. Transfer Mediums
Chapter 15. Data-conversion Equipment
Chapter 16. Special Techniques and Equipment for Pos-
sible Use in Computing Systems
Chapter 17. Factors Affecting Choice of Equipment
D. Computing Systems
Chapter 5. A Functional Approach to Machine Design
Chapter 8. Desk Calculators
Chapter 9. Punched-card Computing Systems
Chapter 10. Large-scale Digital Computing Systems
Chapter 11. Analog Computing Systems
Chapter 12. The Form of a Digital Computer
Additional introductory material on the subject of computa-
tion both by analog and by digital methods will be found in the
following bibliography, containing three volumes all of which
have been published since most of the material in the following
pages was prepared. Hartree2 is concerned primarily with the
mechanisms of computing, while Berkeley1 and Wiener3 devote
their efforts respectively to more popular discussion and to the
philosophy of the subject.
REFERENCES
1. Berkeley, E. C, Giant Brains (John Wiley and Sons, Inc., New York,
1949).
2. Hartree, D. R., Calculating Instruments and Machines (University of
Illinois Press, Urbana, 111., 1949).
3. Wiener, Norbert, Cybernetics (John Wiley and Sons, Inc., New York,
1948).
CHAPTER 2
PRELIMINARY CONSIDERATIONS
2-1. Basic Components of Automatic Computation
The basic components required for a general-purpose com-
puting machine consist of (1) the input system; (2) the arithmetic
techniques; (3) the system of operations, which includes arith-
metic elements, storage, and control; and (4) the output system.
Each of these components will be treated here in order to present
an introductory view of the fundamental requirements of auto-
matic computation.
2-1-1. Input Systems. This is a general term for the com-
ponents and processes by means of which problems are introduced
to the machine. For example, the input system associated with
a standard desk calculator is comprised of a manually operated
keyboard of decimal digits and commands {e.g., add, multiply).
The input more nearly defines the use to which a machine can
be put than does any other component; there is no universally
applicable input medium.
Machines can be divided roughly into two classes according
to their expected use, and each of these classes can be divided
further into two subdivisions according to versatility:
Class I A — Data-reduction equipment, general-purpose.
Class IB — Data-reduction equipment, special-purpose.
Class II A — Mathematical equipment, general-purpose.
Class IIB — Mathematical equipment, special-purpose.
The input requirements of these four types differ radically.
Data-reduction machines typically receive voluminous data
from physical measurements. Usually manual transcription
time (the time spent in reading and transcribing the data from
the measuring instrument) exceeds manual reduction time (the
time spent on the ensuing arithmetic calculation). The use of
automatic computing equipment for large-scale reduction of data
will be strikingly successful only if means are provided for the
6
PRELIMINARY CONSIDERATIONS 7
automatic transcription of these data to a form suitable for
automatic entry into the machine. For some applications, of
which the most prominent are those in which the reduced data
are used to control the process being measured, the input must
be developed for on-line operation. In on-line operation the
input is communicated directly and without delay to the data-
reduction device. For other applications, off-line operation,
involving automatic transcription of data in a form suitable for
later introduction to the machine, may be tolerated. These
requirements may be compared with teletype operating require-
ments. For example, some teletype machines operate on line.
Their operators are in instantaneous communication. Other
teletype machines are operated off line, through the intervention
of punched paper tape. The message is preserved by means of
holes punched in the tape and is transmitted later by feeding the
tape to another machine. This method permits fast regular
transmission independent of operator variations. Line time is
thus conserved at the expense of elapsed communications time.
The typical mathematical machine, as contrasted with the
data-reduction machines, receives input data generated in a
human brain. These data are not likely to be numerous, and
automatic entry from the human brain is not presently feasible.
2-1-2. Arithmetic Techniques. When a project involving
extensive computation has reached the point in its development
where the use of large-scale computing equipment is being
planned, it is usually true that a fairly well defined field of prob-
lems has been formulated. These are the problems the com-
puting equipment must solve. Between the general formulation
of this field and the production of solutions of problems from the
field come the specific arithmetic formulations of problems and
the development and construction of equipment which will
yield solutions economically. Roughly, then, the project can
be thought of as including a mathematical aspect and an engi-
neering aspect. A precise definition of the boundary between
these aspects is not worth attempting; one merges into the other.
Neither part of the problem can be solved independently of the
other. The solution must be evolved from a utilization of
mathematical processes (including arithmetic, logic, etc.) and
engineering processes which together yield the desired solution
with acceptable economy.
8 THE BASIC ELEMENTS OF MACHINE COMPUTATION
The central meeting ground of these two aspects of the com-
puting program is an area which includes both the set of ele-
mentary operations which the device is capable of performing
and the general procedure for communicating to the device the
set of orders it must perform in solving a problem. The term
arithmetic techniques is used to describe this area. The term
denotes, therefore, those arithmetic and logical operations and
combinations of operations which are used by the machine opera-
tor in the application to any problem of abstract arithmetic
processes. Thus, when an operator uses a simple adding machine
to obtain a product of two numbers, he is performing the process
known as multiplication via the arithmetic technique of iterative
addition.
The speed with which a given problem can be solved with a
particular machine depends primarily upon the number of opera-
tions (e.g., multiplications) which the machine must perform in
solving the problem and upon the time spent by the operator
in preparing a program of commands ordering the machine to
perform the required operations. For maximum versatility
and speed, the machine must be capable of a maximum number
of different operations. Generally speaking, the more extensive
the variety of possible operations, the less complex will be the
program of operations for a given problem. On the other hand,
the variety of operations must be restricted to some extent for
practical and economic reasons. Ingenuity in preparing pro-
grams of operations must be substituted to some extent for
variety of available operations.
Therefore, in setting performance specifications for a machine,
the choice of an optimum set of available operations depends
upon the field of problems which the machine must solve, the
speed with which solutions are actually required, and the prac-
ticability of constructing physical components which will perform
the various mathematical processes which might be desirable.
These factors are related to the choice of an optimum set of
operations through the arithmetic techniques which will be
employed.
2-1-3. System of Operations. The portion of a computer
which actually performs the mathematical functions in the
solution of a problem may be termed the operations system.
It consists of arithmetic units, which perform the operations of
PRELIMINARY CONSIDERATIONS 9
addition, subtraction, multiplication, and division; storage
units, which provide means for holding information for reuse;
and control elements, which interpret commands and initiate
arithmetic processes.
The arithmetic units of the machine are only partially deter-
mined by the determination of the elementary arithmetic opera-
tions they are to carry out. The required accuracy, speed, and
versatility of the machine all affect the design of the arithmetic
units. If the operation has to be synchronized with outside
phenomena, which is the case frequently in on-line operation,
this too must be taken into account in the design of the arith-
metic elements. Finally, it is true that the arithmetic elements
must be designed in such a way as to permit convenient informa-
tion transfer between the arithmetic units and the storage units
chosen for the machine.
It has already been stated that storage units are required to
hold information for later reuse. This implies a concept of time
which may be used to distinguish between types of storage:
quick-access, or high-speed, storage; slow-access, or low-speed,
storage; and intermediate storage. These terms, however,
merely denote the form of the storage and omit any reference to
the actual purpose of storage.
A more descriptive definition of storage facilities may be
obtained by considering the use of storage in a typical example.
When a piece of paper, a pencil, the physical actions of writing,
and the mental processes of calculations are involved in the
solution of an arithmetic problem, it is readily seen that there
are four kinds of storage required: (1) storage of the original
data of the problem upon the paper; (2) mental storage of carry-
overs in processes of addition, subtraction, multiplication, and
division; (3) storage of intermediate results upon the paper;
and (4) storage of the final solution upon the paper. Of these
four kinds of storage, all but the second require transfer to a
medium external to that in which the fundamental arithmetic
processes are performed. This suggests that storage may be
further defined as either internal or external; i.e., either for
immediate automatic reuse in the arithmetic units, or for reuse
in the computation process at a time determined by the pro-
gramming of operational commands. For the former, quick
access time is convenient; for the latter, a lower speed is per-
10 THE BASIC ELEMENTS OF MACHINE COMPUTATION
missible. In fact, a lower speed may be preferable. The factors
influencing the choice of storage speeds, the amount of storage,
and storage mediums are more fully discussed in Chap. 14.
The third part of the system of operations is the device which
controls the computation process, ordering the arithmetic units
to perform their various functions upon various numbers in
proper sequence. These commands or orders to the arithmetic
units may be of two types: (1) orders included in a program of
such orders, drawn up by a human operator; or (2) orders derived
from previous machine operations. The complexity of the
program of orders required for the control of the machine depends
upon the type of application for which the machine was designed.
Consider, for example, a machine designed for solving a single
complex problem, requiring many basic operations to be per-
formed in a particular sequence. This is a special-purpose
machine. In theory, a machine may be so highly specialized
that after the values of parameters are specified, the only external
command required is start. The rest of the commands are
permanently built into the machine in some manner or are
derived automatically from operations performed earlier in the
course of the machine's solution. At the other extreme, a
machine may be so general that an infinite variety of sequences
of operations is possible, either by rearrangement of some
temporary wiring system, by revision of the program encoded
on the input medium, or by both.
For general-purpose machines, the present tendency is to
encode the commands in a numerical code. The machine reads
the coded commands inscribed in proper sequence on the input
medium. The code is usually composed of groups of digits;
each group is composed of a part which has to do with the
operation involved and a part which has to do with the location
in storage of the number or numbers to be operated upon.
There may also be a part which has to do with the choice of the
next command to be carried out.
2-1-4. Output System. The output problem is similar to the
input problem. The output, as well as the input, must be care-
fully matched to the utilization expected of the machine. If
the instrument is to control a process, and if this process con-
tinues during the calculation, then the output may be some sort
of on-line device possibly including facilities for translating a
PRELIMINARY CONSIDERATIONS 11
digital output to continuously variable control signals. If the
output is a printing device, it is important to avoid letting this
printer retard the operation of the whole machine, as it will if
the output plans are overextensive. Another consequence of
overextensive output plans is the generation of more printed
material than anyone can read.
CHAPTER 3
COUNTERS AS ELEMENTARY COMPONENTS
3-1. Introduction
In effect, every high-speed computing machine is composed of
an arrangement of fundamental components. It seems reason-
able here to study these elementary components in some detail;
later it will be seen how they may be assembled into a complete
equipment. It is fortunate that the number of different types
of such fundamental components is limited. This makes it
possible to deal with much of the subject by treating only one
general type of elementary potential digital computing component
(hereafter referred to as EPDCC).
We define an EPDCC as any system, mechanical, electrical,
electronic, electromechanical, electromagnetic, or other, which
has the following properties:
1. It may assume any one of a discrete set of stable states,
the number of stable states in the discrete set being fixed
in advance.
2. It may influence other components, including other
EPDCC's, or be influenced by them in different ways,
depending upon the state in which the components are set.
The application of these components to computing has been
indicated in the introductory material; it will be more explicitly
indicated in later chapters. In this chapter, discussion will be
limited to a few elementary mechanical devices, to electrical
circuits involving vacuum tubes, and in particular, to those
circuits based on the flip-flop principle.
3-2. Mechanical and Electromechanical Devices
A common EPDCC is the 10-position adding-machine wheel
which is used in mechanical desk computers, and which satisfies
the definition of an EPDCC in all respects. This mechanical
12
COUNTERS AS ELEMENTARY COMPONENTS 13
counter can be transformed into an electromechanical counter
by the addition of 10 position contacts and pickup wipers.
With this modification, the stable state of the wheel is deter-
mined electromechanically, and the influence of the wheel on
other components is completely electrical. An example of such
a device is the counter developed for card-tabulating purposes.
This device comprises a 10-position wheel, the exact position of
which is controlled by an electromechanically operated clutch.
The wheel position is read by means of a set of 10 contacts.
This type of electromechanical unit also fits the definition of an
EPDCC. Among the few existing large-scale computing
machines there is at least one, the IBM Automatic Sequence
Controlled Calculator presented to Harvard University in 1944
and generally referred to as the Mark I, the entire action of which
is based on the use of such electromechanical devices. 1'13,14
There is a fundamental limitation, however, to the maximum
speed at which electromechanical devices can operate, owing to
the inertia of the mechanically moving parts. Present practice
indicates that the maximum speed for reliable operation of any
electromechanical EPDCC is approximately 100 counts per
second.21-36 Since the great majority of future large-scale
computing machines will demand basic speeds considerably in
excess of this figure, it is necessary to go to some other type of
EPDCC to achieve the desired results. The use of electron
tubes offers such a possibility, and the remainder of this chapter
will deal only with those EPDCC's which utilize electron tubes.
3-3. The Flip-flop Principle
Historically, the flip-flop principle has been known since
1919, n but its, application to a full-scale digital computing
machine does not appear to have been realized until 20 years
later.9 Prior to this conception certain special forms of flip-flop
had been developed, but mainly for the purposes of counting
atomic particles. Since that time the basic principle of the
flip-flop and the ring counters has been altered variously for
particular purposes.
The flip-flop configuration of vacuum tubes is characterized
by the fact that there are two plate-to-grid couplings and a
common bias arrangement between the two halves of the circuit;
this coupling and bias arrangement causes the circuit as a whole
14 THE BASIC ELEMENTS OF MACHINE COMPUTATION
to remain in either one of its two stable states until the appli-
cation of the signal which changes it to the other.
Because the flip-flop circuit is so fundamental to practically
every type of EPDCC, we shall proceed first to a description of
this arrangement of two triodes (Fig. 3-1) having two stable
states.11'31'32'34,38-43 In this circuit the plate of the first triode
Vi is connected to the grid of the second V2, and the plate of the
PULSE
Fig. 3-1. Flip-flop arrangement of two triodes. Each successive negative
pulse on the single input lead will reverse the operating state of the circuit.
In the state shown (Vi conducting) a negative pulse lowers the cathode
potential of V% below its grid potential, causing F2 to start conducting,
which in turn lowers the grid potential of Vi.
second is connected to the grid of the first. An increase in
current through either triode tends to lower the grid potential
of the other triode. For example, an increase of the plate current
of Vi causes a greater potential drop across the resistor Ri, this
lowers the grid potential on V%. Accordingly, the plate current
of tube V2 is decreased, which, in turn, lowers the potential drop
across the resistor R2, causing an increase in the grid potential
of tube Vi. With a higher grid potential on tube Vi, the plate
current through this tube is increased. This general condition
of instability prevails and continues to drive the operation just
described until tube Vi is conducting at saturation and tube V2
is cut off. The plate current of the conducting tube produces a
voltage drop across both its own plate resistor and the common
cathode resistor R3. The values of the resistors are selected so
that the potential at both cathodes, with either tube fully con-
ducting, is above the grid potential of the nonconducting tube.
This elementary configuration can be caused to shift from one
COUNTERS AS ELEMENTARY COMPONENTS
15
stable condition to the other by introducing circuitry designed
to respond to various stimuli. There are two main types of
shifting stimuli which can be introduced to the flip-flop circuit,
and both of these have application in computing devices.
The first type of stimulus utilizes pulses of a fixed polarity
which are introduced at a single input terminal. The action of
the flip-flop is such that it reverses between its two stable states
each time a new input signal is introduced : it is similar in action
NEON LAMPS
M P
-115 TO
-70 V c
INPUT— |f '
-85
Fig. 3-2. Binary counting circuit with a single input lead.
to a pull-chain light switch which reverses its state (on or off)
each time the chain is pulled. Thus it indicates, by its state,
whether the total number of input pulses which have been
applied is odd or even.
Such a device is classified as a modulo 2 counter. The term
modulo means, literally, "with respect to the modulus, or stand-
ard of measurement." Two numbers are congruent with respect
to an integral modulus if their difference is divisible by that
modulus. That is, a = b (mod c) if a — b is divisible by c (or
if a and b have the same positive remainder when divided by c).
A modulo 2 (or binary) counter is essentially the main ele-
mentary component from which counters and accumulators are
assembled. A practical example of such a binary ring circuit
having a single input lead, as found in the plus-minus indicating
device of the ENIAC, is illustrated in Fig. 3-2. In this illustra-
tion the tubes V\ and Vi act as trigger tubes. Whenever a
positive signal arrives on the one input lead, both of these tubes
16 THE BASIC ELEMENTS OF MACHINE COMPUTATION
begin to conduct. This causes the grids and plates of both V3
and Vi to take a negative swing. Since F4 is already noncon-
ducting, it has no effect there, but F3 is cut off. As F3 cuts off,
its plate becomes more positive, and, through condenser C3,
the grid of V ± also takes a positive swing. As V4, begins to con-
duct, its plate takes a negative swing, and condenser C2 further
causes the tube F3 to cut off. Note that the tubes utilized are
100 k 02
vwv — -»- (-435 v)
25/^/
(-465V)
.001 =t=
+ 110 -555 -360 — s/WV
I00K I00K
is
INPUT
(SET)
INPUT
(RESET)
Fig. 3-3. Binary counting circuit with two input leads.
actually dual triodes so that Vi and V2, and likewise Vz and T4,
are in a single envelope.
The second type of actuating signal, or stimulus, for altering
the stable state of the flip-flop is introduced on one of two input
terminals. If the input signal arrives on the first terminal, it
causes the flip-flop to assume the first of its two stable states and
remain in this state thereafter until such time as a signal arrives
at its other input terminal, whereupon it will reverse. This
action is analogous to that of the ordinary wall-type toggle switch,
which can be thrown in either of two directions and which will
remain thrown in this direction until such time as it is thrown the
COUNTERS AS ELEMENTARY COMPONENTS 17
other way. A practical example of such a side-stable electronic
circuit is shown in Fig. 3-3. Except for a few circuit values, the
only difference between this and the circuit of Fig. 3-2 is in the
number of input leads for introducing the actuating signal.
3-4. Pulse -sensitive Flip-flop Circuits
Of the two types of flip-flop circuits described above, the one
having a single input terminal is of interest mainly because a
whole series of pulse-sensitive counters can be built from it.
When considered as a single unit operating by itself, it is essen-
tially an odd-even, or modulo 2, counter, as mentioned previ-
ously. If a number of such modulo 2 counters are connected
so that the output of one feeds the input of the next, a radix 2
counter is formed, each successive flip-flop registering the next
binary digit. (The reader who is not familiar with the concepts
of binary arithmetic is referred to Chap. 6 for an exposition which
will explain more fully the meaning of this paragraph.) If the
number of tubes in the flip-flop itself is increased beyond two,
the circuit can count to a modulus higher than 2. Stating the
proposition generally, a number of modulo r flip-flops used
together constitute a counter system operating to the radix r.
It is also possible to connect a number of flip-flop circuits in
such a manner that each complete flip-flop represents one ele-
ment in a ring of such twin elements, thus forming another type
of modulo r counter, which can be compounded into a radix r
counter.
All these configurations are characterized by the presence
of a single input terminal and further by the fact that they are all
fundamentally compounded from a number of modulo 2 flip-flop
elements. Such compounding is necessary because, although it
is easy to think of all radices as having substantially equal
mathematical merit, the electron tube is unable to assume more
than two discrete stable states with any assurance of reliability.
3-5. Radix 2 Counters
One of the simplest schemes for counting the pulses in a series
is the radix 2 counter, which may be assembled by coupling
together several modulo 2 counters.15'24'34,43 Figure 3-4 illus-
trates how this may be done. The circuit shown contains four
18 THE BASIC ELEMENTS OF MACHINE COMPUTATION
.._ip-
COUNTERS AS ELEMENTARY COMPONENTS 19
modulo 2 counters denoted by the blocks with the Roman
numerals. Counter I receives the pulses to be counted; these
pulses are introduced via the input lead of a modulo 2 counter
of the type illustrated in Fig. 3-2. Each pulse causes counter I
to reverse its state. The output from counter I drives counter II.
The output is taken from point B in Fig. 3-2 and is coupled,
possibly through a pulse-sharpening circuit, to the input lead of
counter II. In the same way the output from point B of counter
II is taken to the input of counter III, and the output at point B
of counter III is taken to the input of counter IV. Now it is
clear that each time tube F4 of counter I, II, or III changes
from a conducting to a nonconducting condition, a positive pulse
will be introduced to the input of the next counter in the series,
causing it to change its state. Assume that a counter's condition
is denoted by the symbol 0 if tube Vi is blocked and tube V3 is
conducting. Then a pulse changing the counter's status from
0 to 1 introduces a negative pulse which has no effect on the next
counter in the series. However, if the status is changed from 1
to 0, a positive pulse is introduced to the next counter, and this
pulse changes the status of the next counter. Thus, in the
example of Fig. 3-4, if the configuration of the four counters
were 0000 at the beginning and if 16 pulses were introduced, the
successive configurations would be 0001, 0010, 0011, 0100, 0101,
0110, 0111, 1000, 1001, 1010, 1011, 1100, 1101, 1110, 1111, and
0000.
The representations 0000 through 1111 are the radix 2, or
binary, representations of the decimal numbers from 0 through 15.
The 16th pulse returns the system to zero. This representation
is described more fully in Chap. 6; it should be noted here, how-
ever, that from the configuration of the system the number of
pulses which have been introduced can be deduced, provided this
number is less than 16. By adding more counters modulo 2
with similar coupling, the capacity of the circuit can be
increased. The number of pulses which can be counted with m
modulo 2 counters is 2m — 1.
The reading of these counters is brought about without sub-
stantial decrease in their functioning frequencies by establishing
reading leads at points A of the individual modulo 2 counters.
Simple radix 2 counters can be made to operate at a counting
rate of 10 pulses per microsecond.
20 THE BASIC ELEMENTS OF MACHINE COMPUTATION
3-6. The r-triode Counter, Modulo r
For small values of r, such as 3, 4, and 5, it is feasible to extend
the circuit of Fig. 3-1 beyond two, so that, of r triodes, one is
conducting and r — 1 are blocked. 2,15>17,37 Thus, a pulse intro-
duced to the input lead causes the originally conducting tube to
pUU-
Fig. 3-5. Five-triode ring. This circuit has five stable states, in each of
which one, and only one, tube is conducting. It is a modulo 5 counter.
become blocked and causes a tube cyclically advanced beyond
the originally conducting tube to begin to conduct. Figure 3-5
illustrates such a circuit34 with five triodes so wired that the
direction of progress is counterclockwise. In this circuit the
grid resistors are chosen carefully so that the condition in which
none, or more than one, of the tubes is conducting leads to a grid
voltage too high or too low for stable operation. The grid of
each tube obtains its operating potential from a voltage divider
comprising five resistors, four from the plates of the four other
COUNTERS AS ELEMENTARY COMPONENTS 21
tubes, and one from a permanent bias bus. The values are
such that, for any one tube, only two conditions can obtain:
(1) if the other four are all cut off, the grid voltage will be suffi-
ciently high that full conduction of this tube is assured, or (2) if
one of the other four tubes is conducting, then the grid voltage
will be low enough to assure that this tube is cut off, thus pre-
serving the one-on-four-off ratio.
A negative pulse on the input-pulse bus will cause the conduct-
ing triode to cut off, thus raising its plate potential. This rise is
then transmitted to the other four tubes. However, only the
associated voltage-divider resistor of the next tube cyclically
advanced is shunted by the necessary crossover condenser;
hence it is the only one to achieve conduction as a result of the
input pulse. [It is also possible41 to construct a circuit such
that only one tube is cut off and the rest are fully conducting.
Another possibility23 is a ring composed of an odd number of
tubes, r, of which in each of the ring's r stable positions (r + l)/2
tubes are nonconducting.]
Read-out from the modulo r counter illustrated in Fig. 3-5 is
accomplished at the plates of the tubes, as illustrated by the
small neon indicator lamps. Its operation is limited to values of
r which are sufficiently small to permit adequate discrimination
between conditions governing operation of the individual tubes.
In the configuration shown, the plate potential of the conducting
tube may be well below that of the nonconducting tubes. The
difference in potential between the plates and the grids of the
nonconducting tubes is 1/r times the difference between the
plate of the conducting tube and the plates of the nonconducting
tubes. If r becomes sufficiently large, 1/r becomes sufficiently
small to make operation of the circuit uncertain. In practice,
with careful design, values of r up to 7 or 8 appear to be feasible ;
values much larger than this have led to difficulty. It does not
appear possible to make r = 10 (for decimal arithmetic) with
this scheme, except at considerable decrease in reliability.
However, a binary counter and a quinary counter can be com-
bined to form another type of decimal counter. 15,23-34
There is another form of r- triode modulo r counter which is
practical and which has achieved wide usage in certain specialized
applications where the ultimate in speed is not required. This
is the ring consisting of gas-filled triodes,15,40-42'43 popularly
22 THE BASIC ELEMENTS OF MACHINE COMPUTATION
known as thyratrons. The thyratron, as contrasted with the
conventional tube, has only two possible stable states for all
grid potentials: fully conducting and completely nonconducting.
The grid of such a tube, by itself, serves to trigger the tube from
the nonconducting to the fully conducting state, after which it
loses control of the action of the thyratron until the tube is
extinguished by other means. Figure 3-6 represents a decade of
thyratrons, forming a modulo 10 counter. In each of its 10 stable
states, one, and only one, tube is conducting. Because of the
INPUT
+ PUL*§E
♦ c-
Fig. 3-6. Thyratron ring counter.
voltage divider in the cathode circuit of the conducting tube, the
grid voltage of the tube following it is higher than the grid
voltages of the other nonconducting tubes. The tube is there-
fore said to be primed. The next positive pulse raises its grid
sufficiently to cause it to start conducting. Almost simul-
taneously the preceding tube is cut off. This is the consequence
of a drop in its plate voltage while its cathode voltage remains
nearly constant. The drop in plate voltage is occasioned by the
additional current (to the tube which has begun to conduct)
through the common plate resistor; at the same time, the cathode
potential is held nearly constant by the action of the capacitor
in the cathode circuit.
This gas-tube ring counter can be used in applications requiring
a rate up to about 10,000 counts per second, this limit being
established probably by the time constant of the grid circuit.
COUNTERS AS ELEMENTARY COMPONENTS 23
The ultimate limitation on counting speed is set by the deioniza-
tion time of the gas molecules. It is probable that 50,000 counts
per second is about the best that will be reliably accomplished
with production gas-tube counter circuits. Higher speeds, of
the order of 1 million counts per second, demand the use of
vacuum tubes exclusively, although experimental gas-tube rings
have been made to work as fast as 110,000 to 200,000 counts
per second.39
3-7. The 2r-triode Counter, Modulo r
For high-speed counting to a radix greater than 2, the 2r-triode
counter modulo r unit is probably the only answer. The most
advanced present form of this type of counter will be found in the
decade rings of the ENIAC, where it forms the basic counting
unit. An example of such an arrangement taken from the
ENIAO34'39 is shown in Fig. 3-7.
It will be noticed that there is a strong resemblance between
the circuit of Fig. 3-7 and the more elementary circuit of Fig. 3-1.
The former is merely a tenfold repetition of the latter. It is
interesting to note, however, that this circuit can be operated
more reliably if the coupling between flip-flop stages is effected
through the regular control grids while the single input terminal
is connected to the cathode circuits on only one side of each flip-
flop. Thus the condition of the ring as a whole assures that
there is one flip-flop in the "set" or abnormal state and that the
other nine are in the "reset" or normal state. Successive input
signals cause the flip-flop stage previously in the abnormal state
to resume its normal condition, meanwhile simultaneously driving
the next succeeding flip-flop into the abnormal state.
As compared with the counter described in the previous section
(i.e., the one with a single triode per digit of the modulus), the
particular counter described above does not appear to have any
practical limit as to the size of the modulus, although of course
considerably more driving power may be required in the case of
the larger rings. For computing purposes, 10 seems to be the
highest modulus usually desired.
It is possible to combine a number of modulo 10 counters in
such a manner that a carry-over is provided between successive
rings; this in effect gives us a radix 10, or decimal, counter
capable of handling as many digits as there are rings provided.
24 THE BASIC ELEMENTS OF MACHINE COMPUTATION
-IQ.
2?
4\h
*v
in q:
3 'C
m ^
-° .a
§ fl
° O
A «
* a
8.13
-»J „
03 !-
"^ w
« 3
^3
<3 O
-8 S
s a
.a-s
^ °
•3 e
•SI
fafi O
a n
COUNTERS AS ELEMENTARY COMPONENTS
25
Again there seems to be no limit to the number of rings that can
be combined in this carry-over fashion.
As a final example of this type of counter, we refer again to
the ENIAC, which is capable of handling up to 20-digit decimal
numbers. One accumulator in the ENIAC contains 10 rings of
10 flip-flops each, or a total of 200 tubes, which are enclosed in
100 envelopes. Actually each such 10-digit accumulator requires
almost three times this number of tubes in order to handle certain
auxiliary functions such as signal shaping, carry-over, add
outputs, subtract outputs, and resets.34,38
The choice between the r-triode counter and the 2r-triode
counter is completely dependent upon the value of r itself. In
the ENIAC, for example, there are parts of the machine where
r = 10 (all the decimal arithmetic), others where r = 6, 9, 11,
13, 14, or 20 (various special-purpose rings), and several parts
where r = 2 (plus-minus indicators). In all the cases where
r > 2, experiments showed that the 2r-triode counter was
required; for r = 2, however, the r-triode ring, or elementary
flip-flop, was preferable and, in fact, was capable of operating
about twice as fast as the 2r decade rings.
3-8. Other Types of Flip-flop and EPDCC
In addition to the foregoing general types of EPDCC's, there
are a number of special ones which differ in engineering aspects
and which have application in certain special circumstances.
These will be summarized briefly below.
There is one type of flip-flop which is particularly interesting
in view of its simplicity and the small number of component parts
required. This is the pentode-coupled flip-flop (Fig. 3-8), in
50 K
INPUT
PULSES
+ 8V.
Fig. 3-8. Pentode-coupled flip-flop circuit.
26 THE BASIC ELEMENTS OF MACHINE COMPUTATION
which the screens and plates of the two pentodes are cross-
connected.3,28 The action of this circuit can be readily under-
stood by considering the case in which Vi is fully conducting;
its plate must be at a low potential, and therefore the screen of
V2 is at an equally low potential. This being the case, the right
pentode must be essentially nonconducting, which means that
its plate is at a high potential. Hence the screen of the left
pentode, which must be at the same high potential, is serving to
keep the left pentode in its fully conducting state. Positive
input impulses serve to switch this flip-flop alternately into its
two stable states, just as in the case of the triode flip-flop in
Fig. 3-2. This circuit does not appear to have had the exploita-
tion and development which its simplicity warrants. It operates
satisfactorily at a speed of at least 200,000 counts per second;
however, it appears likely that with an appropriate amount of
effort directed toward its fullest exploitation this circuit is capable
of the same speeds as are now achieved in the more fully developed
triode flip-flop. It is quite possible that the advent of printed-
circuit techniques,5 mentioned in Sec. 16-6 of this book, and the
recently released wartime developments of miniaturized vacuum
tubes may serve to direct further interest toward the pentode-
flip-flop circuit.
The pentode-flip-flop circuit has been incorporated into a
decade counter.29 This particular decade differs from others
previously described in that there are only five pairs of pentodes
constituting the entire decade ring; thus, we might classify this
as an r-pentode counter, modulo r (with the proviso that r be an
even number). This particular circuit is also interesting in that
its normal mode of operation is one in which there are r/2 con-
secutive pentodes in the conducting state and r/2 consecutive
pentodes in the cutoff state. (The two pentodes forming any
one pair are r/2 apart in the ring.) As opposed to the more
conventional counter ring, which has one element conducting
and r — 1 elements nonconducting, this may appear to com-
plicate the read-out problem; however, a rather ingenious and
unambiguous visual read-out system has been developed for
this pentode ring, and doubtless the same principle could be
applied to the read-in and read-out problems which would arise if
such a ring were integrated into a complete computing machine.
This five-pentode-pair ring has been built and tested up to
COUNTERS AS ELEMENTARY COMPONENTS 27
100,000 counts per second or more. It compares favorably with
the performance of the standard production models of triode-pair
decade counters (180,000 pulses per second), which were brought
to an advanced state of development for the ENIAC. More
recently this same circuit has been further developed,33 and it now
appears capable of achieving a speed of 500,000 counts per second.
It will be noted that all the foregoing decade rings operate
with a fixed direction for the progression of the count. This is
true for all the rings (r-triode, 2r-triode, r-pentode) except, of
course, for the trivial case of the binary counter. In general,
this is quite satisfactory for any type of computing machine,
since the forward direction can be made to serve for addition,
while a system of complements to the forward direction can be
made to serve for subtractive purposes. It is a relatively simple
problem to provide a few extra tubes for such a system of numbers
and complements; this is actually the method employed in the
ENIAC.38 However, it is possible to fabricate a ring which can
be driven either forward or backward. At least one such
device has actually been constructed; the choice of drive direction
in this ring was determined by the choice of which of two pairs
of input terminals received the input pulses.30 Since these
flip-flops and counter rings are now in a state of rapid develop-
ment, it is not possible to include here all the numerous finer
engineering points.
One more type of electronic counter should be included here,
although its use to date has been directed more toward a simple
counting device than as a component in a full-scale computer.
This is the decade scaler, or decade counter, which counts in the
decimal system, but not in a manner similar to previously
described counters (all of which embodied a closed ring or
chain of 10 electronic elements). This counter actually employs
a chain of four binary-system counters similar to the ones
described earlier in this chapter. These would, of course, nor-
mally count on a modulus of 24 = 16, but certain trick feedback
circuits are employed so that effectively six of the 16 stable
states are circumvented in one way or another, thus reducing
each chain of four flip-flops to what is actually a chain of decimal
counters. This type of circuit has been known for several
years ;4,18,26'41 several manufacturers have brought out com-
mercial versions of these circuits. The principal merit of this
28 THE BASIC ELEMENTS OF MACHINE COMPUTATION
modified-binary type of decimal counter as compared to the
more conventional ring of 10 lies in the lowering of the input
electrostatic capacity, which permits the circuit to achieve a
higher operating speed. There is also considerable tube economy
as compared to the 2r-triode ring when r becomes 10 or more.
Two other types of flip-flop might be included here for the sake
of completeness and because of the theoretical interest they hold.
Neither of them has to date achieved any acceptance in practical
computer application. The first of these is a standard cathode-
ray tube modified in such a way that the beam, instead of falling
on a phosphorescent screen, will fall on one of two collector
plates, where it will be picked up and used to control the deflec-
tion of the beam so that it continues to remain on this first col-
lector plate.39 By suitably arranging the geometry of the
various internal members and the external circuitry of the tube,
a satisfactory flip-flop element has been obtained. If there
were enough demand for such a tube, it would not be too difficult
to effect the necessary design and development work; such a tube,
however, does not appear to offer any great advantage over
presently available components, and there appear to be a number
of engineering disadvantages to such a scheme.
Another type of flip-flop may be built around the use of any
single tube which shows an inversion in its characteristic curve.
When such an inversion exists, it may be used to represent,
effectively, an area of negative resistance, and, with the proper
choice of operating conditions, this may be used to obtain the
necessary two stable states.15 However, these regions of nega-
tive resistance are caused by phenomena such as secondary
emission, which is notoriously unstable and unreliable. This
type of tube does not appear to promise any major gain over
present conventional components.
3-9. Economic Considerations
Experience with the cost of existing and contemplated machines
(described in Chap. 10) does not serve as a very accurate guide
toward establishing a cost of the elementary components, because
the cost of the few existing equipments is intimately associated
with developmental charges and certain military considerations.
For this reason it appears best to look to other sources of data.
For the purposes of this estimate, we shall exclude EPDCC's
of the elementary mechanical type. The cost figures for desk
COUNTERS AS ELEMENTARY COMPONENTS 29
computers given in Chap. 8 may be taken as indicative of what
mechanical devices are likely to cost.
Manufacturers are presently engaged in making standard
models of electronic counting equipment on a limited scale.
The Radio Corporation of America is now producing a six-decade
decimal counter (operating on the modified-binary system
described in Sec. 3-9) which is capable of operating on pulses
spaced 1 million per second.27 This device is supplied with an
input for normal pulse counting or with a start-stop input control
which operates a self-contained, 1-megacycle, crystal-controlled
oscillator. The Potter Instrument Company is also producing a
Decade Scaler having only three decades (also modified-binary
type) but capable of a speed of only 200,000 pulses per second.25
In general, it may be stated that the cost of an elementary
flip-flop or a decade ring is not closely governed by the operating
speeds involved. This statement is approximately true over
quite a wide range of speeds: from about 100 cycles per second,
the limit of mechanical counters, to several million cycles per
second, the present limit of electronic counters. Speed require-
ments may dictate the choice of tubes involved and their asso-
ciated circuitry. So far as flip-flops and rings are concerned, the
choice of tubes and circuitry does not greatly influence the cost
of the over-all assembly, since labor appears to be by far the
greatest factor. For example, a top-speed modified-binary
decade employing four flip-flops (eight tubes plus a few extra
tubes) will have about as many tubes as a low-speed thyratron
ring of the conventional type. The two may, therefore, be
regarded as about equally expensive even though their operating
speeds may differ by a factor of over 100 to 1.
Labor is the principal item of expense per EPDCC. The use of
recently announced laborsaving techniques such as the printed
circuit may be expected eventually to reduce this; for example,
printed circuits have been accepted in fabrication of radios and
hearing aids.5 Their potentialities have not yet been exploited
in connection with high-speed computers. It is not unreasonable
to suppose that eventually the quantity cost per EPDCC may
be brought down to the neighborhood of $1.
REFERENCES
1. Aiken, H. H., and G. M. Hopper, The Automatic Sequence Controlled
Calculator — I, Electrical Engineering, Vol. 65, Nos. 8 and 9, pp. 384-391
30 THE BASIC ELEMENTS OF MACHINE COMPUTATION
(August-September, 1946); The Automatic Sequence Controlled Calcu-
lator—II, ibid., No. 10, pp. 449-454 (October, 1946); The Automatic
Sequence Controlled Calculator — III, ibid., No. 11, pp. 522-528 (Novem-
ber, 1946).
2. Alfven, H., A Simple Scale-of-Two Counter, Proceedings of the Physical
Society (London), Vol. 50, pp. 358-359 (May, 1938).
3. Blair, J. M., An Improved Current Integrator, Review of Scientific
Instruments, Vol. 14, pp. 64-67 (March, 1943).
4. Blume, Richard J., Predetermined Counter for Process Control, Elec-
tronics, Vol. 21, No. 2, pp. 88-93 (February, 1948).
5. Brunetti, Cledo, and R. W. Curtis, Printed Circuit Techniques, Pro-
ceedings of the Institute of Radio Engineers, Vol. 36, pp. 121-161 (Jan-
uary, 1948).
6. Burks, A. W., Electronic Computing Circuits of the ENIAC, Proceed-
ings of the Institute of Radio Engineers, Vol. 35, pp. 756-767 (August,
1947).
7. Compton, J. S., U.S. Patent 2,402,372; filed Nov. 5, 1942; issued Sept.
10, 1946.
8. Couffignal, P. L., U.S. Patent 2,318,591; filed March 26, 1937; issued
May 11, 1943.
9. Crawford, Perry, Jr., unpublished thesis, Massachusetts Institute of
Technology (1939).
10. Desch, J. R., U.S. Patent 2,404,697; filed March 21, 1942; issued July
23, 1946.
11. Eccles, W. H., and F. W. Jordan, A Trigger Relay, Radio Review, Vol. 1,
pp. 143-146 (October, 1919).
12. Grosdorf, I. E., Electronic Counters, RCA Review, Vol. VIII, pp. 438-
447 (September, 1946).
13. Harvard University, Staff of the Computation Laboratory, A Manual of
Operation for the Automatic Sequence Controlled Calculator, Annals of the
Computation Laboratory of Harvard University, Vol. I (Harvard Univer-
sity Press, Cambridge, Mass., 1946).
14. International Business Machines Corporation, IBM Automatic Sequence
Controlled Calculator. Pamphlet published by the International Business
Machines Corporation (1945).
15. Lewis, W. B., Electrical Counting (Cambridge University Press, New
York, 1942), Chap. VIII.
16. Lifschutz, H., and J. L. Lawson, Triode Valve Scale-of-Two Circuit,
Review of Scientific Instruments, Vol. 9, pp. 83-89 (March, 1938).
17. Lifschutz, H., A Complete Geiger-Miiller Counting System, Review of
Scientific Instruments, Vol. 10, pp. 21-26 (January, 1939).
18. Lifschutz, H., New Vacuum Tube Scaling Circuits of Arbitrary Integral
or Fractional Scaling Ratio, Physical Review, Vol. 57, pp. 243-244 (1940).
19. Michael, F. R., Tube Failures in ENIAC, Electronics, Vol. 20, No. 10,
pp. 116-119 (October, 1947).
20. Miller, O. R., U.S. Patent 2,407,320; filed Nov. 5, 1942; issued Sept. 10,
1946.
21. Neher, H. V., High Speed Mechanical Recorder, Review of Scientific
Instruments, Vol. 10, pp. 29-31 (1939).
COUNTERS AS ELEMENTARY COMPONENTS 31
22. Overbeck, W. P., U.S. Patent 2,404,918; filed May 1, 1940; issued
July 30, 1946.
23. Overbeck, W. P., U.S. Patent 2,470,716; filed June 11, 1943; issued
May 17, 1949.
24. Phelps, B. E., Dual-Triode Trigger Circuits, Electronics, Vol. 18,
No. 7, pp. 110-113 (July, 1945).
25. Potter Instrument Company, Flushing, N. Y., Decade Scaler, Model 2092.
26. Potter, J. T., A Four-Tube Counter Decade, Electronics, Vol. 17, No. 6,
pp. 110-113, 358, 360 (June, 1944).
27. Radio Corporation of America, Camden, N.J., Time Interval Counter,
Type WF-99B.
28. Regener, V. H., Design and Use of Directly Coupled Pentode Trigger
Pairs, Review of Scientific Instruments, Vol. 17, pp. 180-184 (May, 1946).
29. Regener, V. H., Decade Counting Circuits, Review of Scientific Instru-
ments, Vol. 17, pp. 185-189 (May, 1946).
30. Regener, V. H., Reversible Decade Counting Circuit, Review of Scientific
Instruments, Vol. 17, pp. 375-376 (October, 1946).
31. Reich, H. J., Trigger Circuits, Electronics, Vol. 12, No. 8, pp. 14-17
(August, 1939).
32. Reich, H. J., Electronic Switch for Simultaneous Observation of 2
Waves with the Cathode-ray Oscilloscope, Review of Scientific Instru-
ments, Vol. 12, pp. 191-192 (April, 1941).
33. Seren, Leo, Decade-Ring Scaling Circuit, Review of Scientific Instru-
ments, Vol. 18, pp. 654-659 (September, 1947).
34. Sharpless, T. K., High Speed N-Scale Counters, Electronics, Vol. 21,
No. 3, pp. 122-125 (March, 1948).
35. Shea, H. G., Electronic True Decade Counters, Electronic Industries,
pp. 82-84, 136 (Sept. 1946).
36. Shepherd, W. G., and R. O. Haxby, Scale of Eight Impulse Counters,
Review of Scientific Instruments, Vol. 7, pp. 425-426 (1936).
37. Stevenson, E. C, and I. A. Getting, A Vacuum Tube Circuit for Scaling
Down Counting Rates, Review of Scientific Instruments, Vol. 8, pp.
414-416 (November, 1937).
38. University of Pennsylvania, Staff of Moore School of Electrical Engi-
neering, The EN I AC (University of Pennsylvania, Philadelphia, Pa.,
June, 1946). 5 vols.
39. University of Pennsylvania, Staff of Moore School of Electrical Engi-
neering, Theory and Techniques for Design of Electronic Digital Com-
puters (University of Pennsylvania, Philadelphia, Pa., 1946). 2 vols.
40. Wellman, B., and K. Roeder, Electronic Counter for Rapid Impulses,
Electronics, Vol. 15, No. 10, pp. 74, 140-142 (October, 1942).
41. Wild, John J., Predetermined Counters, Electronics, Vol. 20, No. 3, pp.
121-123 (March, 1947).
42. Wynn- Williams, C. E., The Use of Thyratrons for High Speed-Auto-
matic Counting of Physical Phenomena, Proceedings of the Royal Society
{London), Vol. 132, pp. 295-310 (1931).
43. Wynn- Williams, C. E., Thyratron "Scale-of-Two" Automatic Counter,
Proceedings of the Royal Society {London), Vol. 136, pp. 312-324 (May,
1932).
CHAPTER 4
SWITCHES AND GATES
4-1. Introduction
The basic operations of any digital computer are the ordinary
elementary arithmetic operations, addition, subtraction, multipli-
cation, and division, all of which can be performed on most of the
inexpensive desk computers as explained in Chap. 8. A principal
feature which distinguishes the organized digital computer
(described in Chap. 5) from a mere aggregation of desk com-
puters is the ability to switch data rapidly from one component
of the computer to another without the necessity of transcribing
the intermediate results to paper either by a hand process or by a
printing procedure. Other features are the speed with which the
individual operations are performed and the extent of the internal
storage. The most distinguishing characteristic, however, is
the ability to switch numbers, representing either intermediate
solutions or coded instructions, from one arithmetic or control
unit to another, between the arithmetic or control units and
storage, and between the storage and input or output equipment.
This chapter describes the various uses of switching equipment,
the various types of switching equipment which are presently
available or which may be developed and exploited in the near
future, and examples of the practical application of these switches
to portions of a complete digital computer.
In the subsequent discussion of such equipment, a much-used
type of switch is denoted as a gate. This is an on-off switch
in which the passage of one electrical signal is controlled by the
presence of one or more other signals which hold the switch on
or off.
4-2. Switch Functions in Computers
Switches and gating equipment are used in many places
throughout a digital computer, and, in fact, the same type of
equipment may be used in a number of different places in a
computer for widely different purposes. Each application of
32
SWITCHES AND GATES 33
such a switch or gate, however, falls into one of three general
categories outlined below.
4-2-1. Data Switching. The Automatic Sequence Controlled
Calculator, or the Harvard Mark I machine, offers what is
probably the most easily visualized example of the switching of
data from one part of a machine to another.1-5 Briefly stated,
this device consists of a number of components including storage
registers, constant registers, and multiply-divide units, each of
which has both an input and an output circuit and a single
number-transfer bus. Each elementary partial step in a com-
putation is carried out by connecting the output of one unit and
the input of another unit to the number-transfer bus. The result
attained is the transfer of the contents of one unit to the other
unit by means of the number-transfer bus. At any instant,
there is at most one output circuit and at most one input circuit
connected to the number-transfer bus. After this arithmetic
operation has been completed, another pair of registers may be
connected to the common number-transfer bus. The choice of
which units shall be so connected is made through other elements
in the machine (such as the main sequence tapes, which are more
fully described in Chap. 10). The actual means of carrying out
the connections, disconnections, and reconnections is to be found
in a large bank of electromechanical relays.
Much the same sort of data switching may be found in other
types of computing machinery. In the ENIAC, for example,
instead of just one such bus there are several number-transfer
busses, so that elementary operations previously described may
be carried out simultaneously in various parts of the machine.2,11
However, the net effect is that each individual number-transfer
bus may have connected to it at any instant at most one output
circuit and at most one input circuit. In the EDVAC there is
again a single number-transfer bus.12
4-2-2. Data Conversion. It frequently happens in computers
that data must be converted from one representation to another.
An example is the ENIAC, in which data are sometimes stored
statically in vacuum-tube circuits and transmitted serially in
trains of pulses. The conversion is one in which a given number
represented on the ring counter (the digit 7 represented by the
seventh flip-flop in the ring, for example) is transformed into a
train of (seven) pulses for transmission to some other part of the
equipment, such as another ring.
34 THE BASIC ELEMENTS OF MACHINE COMPUTATION
4-2-3. Signal Preservation. A large number of high-speed
switches or gates are employed in computing machines for
purposes which have nothing to do with the actual arithmetic
operations; they are required solely for signal preservation by
pulse shaping. This application of gating circuits is to be found
only in high-speed computers; such devices as the Mark I and
Mark II computers and the Bell Telephone Laboratories and
IBM relay computers are limited by physical inertia rather than
electrical signal distortion.
Since discrete values are represented by the presence or
absence of pulses in various parts of digital computers, it is
obvious that the identity of the individual pulses must be
properly preserved. In a conventionally designed machine,
the pulses are of proper size, shape, and timing at the time and
place originated. However, after traveling through a long cable
for transfer to some other part of the computer, or after being
operated upon in a device such as an adder, or after being
temporarily stored in some memory equipment, these pulses
may undergo considerable deterioration unless proper steps are
taken to reestablish their original form. The pulses may not
only be diminished in amplitude (a situation corrected by the
insertion of an amplifier), but also may be delayed in time of
arrival or spread out on the time scale to such an extent that they
may give a false representation of the digital value involved.
Electronic gates offer the means for overcoming this undesirable
situation. A gate may be used to allow a standardized master
pulse, which is continuously generated and available throughout
the computer, to be combined with the distorted signal in such
a way that a properly timed and shaped portion of the distorted
signal is selected by the master signal, and this selected portion
is then passed on to the rest of the equipment. This type of
signal preservation or pulse standardization is required in all
machines which use pulses spaced 10 microseconds apart or less.
In order to achieve reliable operation with a high-speed digital
computer, this pulse standardization is inserted at frequent
locations throughout the machine.
4-3. Types of Switches
Four types of switches, including vacuum-tube gates, are
presently used in computers. These types vary widely in cost
SWITCHES AND GATES 35
and speed of operation ; each is suitable for one or more particular
purposes.
4-3-1. Nonautomatic Switching. Nonautomatic switching is
characterized by cable connections and electrical switch settings
which are manually adjustable; they are set up initially for a
problem and are not altered during its run. Only the simplicity
of this type of switching allows its inclusion here since it is
incapable of being operated by any other part of a computer.
A number of such plug connectors and hand-set switches are
used for the insertion of constants in the Mark I and ENIAC.
In the ENIAC there are a number of plug connectors for setting
up the operations of a problem. Such preset switches and cables
constitute a form of storage of the lowest order. In the ENIAC
the various units are permanently wired to do the specific opera-
tions of addition, subtraction, multiplication, division, taking
the square root, and looking up function values.* The particular
operations which these units perform in a given problem and the
order in which they do them depend to a great extent upon how
units are interconnected by the various cables and how the
manual switches are set. With a machine of this type, the setup
time is so long that it can be operated profitably only if it is
called upon to handle a large number of similar problems which
can all be run on a single manual setup. This is true of the type
of problem which the ENIAC was designed to handle.
4-3-2. Electromechanical Relays. The electromechanical re-
lay exists in a wide variety of sizes and shapes. It is essentially a
metallic switch, or several switches, which can be operated by an
electrical signal. A relay includes an electromagnet which
receives an incoming signal to operate or not operate. When the
signal to operate is received, the coil is energized, and a nearby
piece of magnetizable material called the armature is attracted
and moves toward the coil. This motion, by means of a mechan-
ical linkage, causes an assembly of contacts to open or close.
There is almost no limit to the arrangements possible with
these contacts. For example, the contacts of a single relay may
be made so that in one operation they will close certain circuits,
open others, or transfer a circuit from one place to another. The
* This statement is true of the machine as originally used. The philos-
ophy of programming the machine has been altered since then, as
explained in Chap. 10, to make the machine more versatile.
36 THE BASIC ELEMENTS OF MACHINE COMPUTATION
removal of the input signal from a simple relay will deenergize
the coil, and a spring will cause the contacts to return to the
original position. Some relays are provided with mechanical
or electrical latches which effectively maintain the contact in the
operating position until a reset stimulus arrives through a differ-
ent circuit. There are other relays, popularly called stepping
switches, which must receive a series of alternate operate and
nonoperate stimuli before returning to the original state. These,
too, have limited application in computing equipment. For
most computing purposes, however, the most useful type of
relay is one which is capable of closing a number of electrical
circuits when operated and reopening them when the operate
signal is removed. Small relays have been designed for closing
or for transferring 6 to 12 independent electrical circuits, and
these are used effectively in the Mark I and Mark II machines.
Since the operation of this type of relay is mechanical, a
considerable length of time must elapse from the instant the relay
coil is energized until contact is made, even though the distance
traveled may be only a few hundredths of an inch. Six- and
12-contact relays of the type mentioned are capable of operating
reliably in about 15 milliseconds. Recently a number of relays
capable of operating in 1 to 2 milliseconds have been announced
by a relay manufacturer,10 but these high-speed mechanical
relays tend to be limited to one or two circuits. The wire-brush
relay used by the IBM Company has an operating time of
3 milliseconds and can operate eight contacts. The speed limita-
tion of an electromechanical relay is a fundamental one, and it
does not appear that an inexpensive mechanically operating
relay can be produced which will overcome this limitation.
Despite the limited speed of the mechanical relay, there are
a number of significant advantages to this device. First, the
relay is nearly a perfect switch; i.e., when the contacts are closed,
they offer practically zero resistance to the passage of current,
and when they are open, they offer an extremely high resistance.
Second, as compared to electronic equipment of equal cost, the
relays are capable of handling far more current. Also, one relay
can handle 10 or more contacts. Therefore, a relay is attractive
to a circuit designer because of its economy, relatively small size,
and the large number of combinations of circuits which can be
switched with a single relay.
SWITCHES AND GATES 37
Some relays are used in electronic computers in locations
where speed is of lesser importance, e.g., in the reading of input
information and its transfer to internal storage, or in the removal
of data from internal storage to an output printer. There are
numerous noncomputational requirements for relays in com-
puters, such as in the control of power supplies, ventilators,
etc.
4-3-3. Vacuum-tube Gating Circuits. An electronic gate is a
circuit with a single output and two (or more) inputs so designed
that an output signal is produced when, and only when, input
signals are received on both (or on a particular set of) input leads.
Such circuits are variously known as gates, coincidence circuits,
Rossi circuits, or logical and circuits.
Figures 4- la, 6, and c illustrate three types of gating circuits.
All perform the same operations and differ only in structural
details and the polarity of signal required to operate them. All
three of these circuits operate with nearly equal speed and are
adequate for machines now in existence or presently contemplated.
-•output c
INPUT A •-
inku I A • 1| m- •
+ PULSE S
I
INPUT B • — |h»*
Fig. 4-la. Dual grid gate.
The simplest electronic gate employs a single tube which has
two or more input grids. Tubes such as the 6SA7 and 6L7 are
widely used in radio communications for frequency mixing;
they may be used in a circuit such as shown in Fig. 4-la to form
an effective and reliable gate. Except when input signals are
applied, the two input grids are negative with respect to the
cathode and the tube is therefore cut off. If either grid is driven
positive, the condition remains substantially unaltered. How-
ever, if both grids are simultaneously driven positive, the full
electron current begins to flow, and the plate takes a large nega-
38 THE BASIC ELEMENTS OF MACHINE COMPUTATION
tive swing which appears as an output signal. (The similarity
between this circuit and the pentode-coupled flip-flop, Fig. 3-8, in
which plate current could flow only when screen and control grids
were simultaneously positive, should be noted.) One advantage
of this circuit is that only a single tube is required. This single-
tube circuit has the disadvantage that the two grids of conven-
tional tubes do not have equal cutoff potentials; hence the two
input grids are not strictly interchangeable.
Figure 4-16 illustrates a Rossi circuit modified so that it is
suitable for computing purposes.8 In this circuit there are two
tubes, possibly in the same envelope, the plates of which are tied
B +
^ output c
~* +PULSE
INPUT 9
-PULSE
Fig. 4-16. Rossi circuit, or parallel gate.
together and fed through a single plate resistor. Both grids are
normally positive with respect to the cathodes; the tubes are
therefore conducting (as shown). Circuit parameters are so
chosen that either of the tubes is capable of drawing all the plate
current supplied by the batteries and plate-resistor combination.
Thus, if one tube receives a negative input signal, the output
voltage at the common plate connection rises very slightly.
However, if both input circuits simultaneously receive negative
pulses, then neither will draw current, and the output voltage
will rise abruptly to the full plate battery potential. This is the
action desired. The input stimuli are negative pulses, and the
output (upon coincidence) is a positive voltage rise, in con-
tradistinction to the multigrid-tube coincidence circuit previously
described. The necessity for proper polarization of input signals
is characteristic of all electronic switching equipment. It is
obvious that a large number of switches may not be cascaded
unless proper attention is paid to the polarity of the input pulses
SWITCHES AND GATES 39
and the resulting polarity of output pulses which are to be used
elsewhere as inputs.
In computing machines the two-stage circuit illustrated is
generally adequate for most purposes. However, it is possible to
extend this multitube coincidence circuit further; coincidence
circuits with as many as 100 input stages have been successfully
built and operated. Where only two input circuits are required,
it is possible to use two simple triodes, which are readily available
in a single envelope. For coincidence circuits involving a large
number of input stages or for those which demand the ultimate
in operating speeds, the more elaborate pentode is preferred.
A circuit which apparently has not been used to date in com-
puting machines, but one which merits consideration in the
OUTPUT
-PULSE
Fig. 4-lc. Common cathode gate.
design of future equipments, is shown in Fig. 4-lc. This is a
combination of the gating circuit with the cathode follower.*
This circuit is similar to Fig. 4-16 except that the common load
resistance is changed from the plate to the cathode circuit. In
the normal condition, both tubes are conducting. The values of
the common cathode resistor and the bias-battery voltage are
such that, with the tubes conducting, the cathodes are positive
with respect to ground. If the input stimulus in the form of a
negative voltage arrives at one grid, it will serve to cut off this
one tube. As in the previous case, this will have only a trivial
effect on the potential of the common cathodes or output circuit.
However, if negative signals arrive on both grids, then both tubes
are cut off, cathode current ceases to flow, and the output-circuit
potential drops. An important feature of this circuit is that the
polarity of the output signal is the same as the polarity of the
input signals, thus providing the possibility of cascading a
40 THE BASIC ELEMENTS OF MACHINE COMPUTATION
number of such circuits. This gate has the important advantage
of any cathode-follower circuit in that it presents a considerably
lower output impedance to the next circuit. This is an important
consideration if the next unit in the computer is at a considerable
distance and must be connected by a length of cable with a
resulting high electrostatic capacity. This circuit and also the
one of Fig. 4-16 can have identical tubes at each input and hence
can be made with input leads which are interchangeable.
OUTPUT
C -PULSE
INPUT
PULSE
+E VOLT PULSES]^ 4
R.
Fig. 4-2a. Resistance grid gate.
4-3-4. Resistor Matrices and Diode Matrices. Attempts have
frequently been made to simplify the electronic gating circuit by
using pulses of equal size in a matrix of resistors or nonlinear
elements such as crystal rectifiers. An elementary example of a
resistor gate is shown in Fig. 4-2a. In this circuit the pulses
must first be rigorously standardized as to size. In the example
shown, the presence of a pulse is indicated by a potential of 20
volts. The common junction point which feeds the grid circuit
of the output tube may thus assume a potential of 0, +10, or +20
volts, depending on whether zero, one, or two pulses arrive on the
two input circuits. If the cathode is maintained at a potential of
+ 15 volts by the batteries shown in the elementary configuration,
the relative grid-cathode potential will be negative for the cases
of zero or one input signal and positive only when two input
signals are simultaneously present. In the latter case, plate
current is permitted to flow and produces an output signal in the
form of a negative pulse. By properly rearranging the circuit
parameters, it is possible to cause this circuit to operate in the
opposite fashion so that the coincidence of negative input pulses
will produce an output pulse of positive polarity. This circuit
works dependably with two input points and reasonably well
SWITCHES AND GATES 41
for slightly larger numbers. With a number of input circuits n,
the threshold between operation and nonoperation is only the
difference between (n — l)/n and 1. This precludes its use for
values of n much larger than 5. Precisely the same limitation
was found to exist in the r-triode counter, modulo r, described in
the previous chapter. Furthermore, the circuit described fails to
afford any significant economy over the ones illustrated in Figs.
4-la, b, and c, because of the number of accessory tubes required
to standardize the amplitude of the input signals.
A considerable improvement in matrices can be obtained by the
use of miniature crystal rectifiers, 3'7,9 which were brought to a
OUTPUT
^~~c- PULSE
§£^-+ R2»Ri
CURRENT FLOW CONVENTION
Fig. 4-26. Diode-coupled grid gate.
state of perfection for radar application during the recent war.
Each of these diodes or crystal rectifiers contains a small piece
of some semiconductor, such as germanium or silicon, with which
contact is made by a small sharpened point, or cat whisker.
Such a device presents a unilateral impedance. It is capable of
carrying a small current in one direction while resisting up to a
limit the passage of current in the reverse direction. A circuit
similar to Fig. 4-2a is shown in Fig. 4-26 in which the pulse
standardizers and resistor pair are replaced by two of these
crystal rectifiers. A negative potential on either of the two
crystals will hold the grid of the output tube below cutoff.
However, if both crystals are simultaneously driven positive,
they effectively disconnect their input circuits from the common
connection point to the grid, thereby causing the potential at
this point to rise, allowing the output circuit to conduct. Here,
again, the circuit parameters may be rearranged so that negative
42 THE BASIC ELEMENTS OF MACHINE COMPUTATION
input signals are used and a positive output signal is obtained.
The main improvement afforded by the crystals is the snap
action of the potential change at the common tie point. This
common point assumes one potential for both zero and one input
signal and changes to its two-input potential only when two
input signals are received.
It is possible to expand this circuit to a large number of inputs
since the snap action is obtained only when all inputs are driven
A
ION
|OFF
AX.
ION
fOFF
— BINARY
KEYBOARD
A.
A
AXXX.
8+
A.
XX
A
AX.
x.
A
AAXX
A.
AA.
2° = i
2' = 2
2Z=4
7-
OCTAL
OUTPUT
Fig. 4-3a. Binary to octal converter. For any one of the eight possible
combinations of three on-off switch positions one, and only one, of the eight
output terminals will have a positive voltage ; each of the other seven will be
grounded through one or more of the diodes.
in the proper direction. The main disadvantage of such crystal
circuits is the relatively small amount of power which they are
capable of handling. In practical application, an amplifier tube
will usually be required to restore the power level after each
diode array. However, for some applications with a number of
diode switches at the same location, it is possible to defer this
amplification until after several stages of crystal diodes.
An example of such a situation is shown in Fig. 4-3a. This
diagram represents a hypothetical converter which could be used
for translating a number from binary to octal notation. The
number 7 is shown on the binary keyboard on the left-hand side
SWITCHES AND GATES
43
of Fig. 4-3a as 22 + 21 + 2°. The row of terminals labeled 1 to 7
at the bottom of the diagram represents those digits in the octal
system. It can be seen that every one of these terminals, except
7, is grounded. The seventh terminal is the only one on which
the voltage from the positive battery supply will appear.
Figure 4-36 illustrates a translator which operates in the
opposite direction. The input switch is set on number 7.
b+.
X.
£jL.
X
X
j^xxx
x
^x:
X
xx
x
X
xxxx^
X
XX
ON
OFF
ON
OFF
2° = I
2'= 2
ON
OFF
2Z=4
BINARY
OUTPUT
Fig. 4-36. Octal to binary converter. For each one of the eight possible
switch positions a different combination of output leads will be energized.
It can be seen that all the on leads for the binary output are
energized. It can also be seen that if the switch were on any
of the other octal numbers, 0 through 6, one or more of the on
leads corresponding to some power of 2 would be grounded
through the octal input switch.
There is some inherent limitation to the rate at which pulses
can be passed through a diode matrix; this is due primarily to
the time constants of the diodes themselves. For computing
applications, however, this limitation need not be considered a
material design factor.
44 THE BASIC ELEMENTS OF MACHINE COMPUTATION
4-4. Inverse Gates, or Buffers
The gating circuits discussed in a previous paragraph are
frequently described as being the electronic expression of a logical
and; i.e., the output terminal C produces a signal only when the
two input terminals A and B receive signals simultaneously.
In computer design there is frequently a need for a circuit which
functions as a logical or, to supply an output if either A or B is
signaled. These logical or circuits are referred to as anti-Rossi
circuits, isolating circuits, or simply buffers. The term logical
or is used in the sense that A or B includes A and B.
The difference between such a buffer and the gates previously
described is simply the interchange of the electronic states repre-
senting the normal, or stand-by, condition and the operate
condition. For example, the single-tube gate of Fig. 4-la can
be changed to a buffer merely by biasing both grids positively
and furnishing input signals as negative pulses (the reverse of
the gate conditions). Then, if either input is signaled, the plate
current will be terminated and a positive output signal will
result. This same transformation from gate to buffer can be
effected on any of the other circuits, Figs. 4-16 and c and 4-26.
The only engineering difference between a gate and a buffer is
in the amount of energy dissipated during the stand-by periods.
At first glance it may appear that the same results can be
achieved by connecting both A and B to C so that either A or B
can send a signal through to the output C. Unfortunately
such an arrangement also connects A and B together in a " sneak
circuit" having definitely undesirable results. For example,
pulses originating at A and destined for C via a simple Y con-
nection also flow into B, where they are either dissipated entirely
or injuriously affect the apparatus connected to input B. The
buffer connection eliminates this possibility.
Buffers are commonly used in the input circuits of an elec-
tronic register, e.g., in the decade rings of a device like the
ENIAC. Here it is necessary to be able to step the ring from
any of three inputs, a normal input, a carry-over from the decade
of the next lower order, or a read-out input consisting of a series
of 10 cycling pulses used to cycle the ring once for read-out. A
three-input logical or circuit is used to accomplish this, although
it is difficult to point to precisely the three tubes which constitute
the buffer since this function and certain gating operations are
SWITCHES AND GATES
45
combined in some of the tubes. The combination of functions
is common when pulses traverse gates and buffers alternately,
because a buffer may be inherent in the circuit so that additional
tubes are not required for circuit isolation. An example of such
OUTPUT IMPULSES
Fig. 4-4. A combination of and and or circuits.
a circuit is Fig. 4-4, in which the output circuit will respond if
inputs Ai and B\ are energized or if A 2 and B2 are energized (or,
also, if both combinations are energized, "or" being used to
include "and" as stated above).
4-5. Assemblies of Gates, Buffers, and EPDCC's
Combinations of gates and buffers with the EPDCC's described
in Chap. 3 make possible a complete device capable of carrying
out an elementary arithmetic operation (addition or subtraction).
In the descriptions which follow, three examples are given in
order of increasing complexity. Each involves high-speed
electronic techniques which permit a complete addition in less
than a millisecond, and each performs decimal arithmetic. These
simple examples illustrate principles which are used in large-scale
computing machines.
4-5-1. A Single -digit Adder. In the upper part of Figure
4-5a is a gate-flip-flop combination. The flip-flop opens the gate
when a stimulus is applied on the set lead into the flip-flop. A
stimulus on the reset lead closes the gate. The master oscillator
generates a continuous stream of pulses at some convenient fre-
quency such as 100 kilocycles. The decimal pulsing counter
is a modulo 10 ring (of the 20-triode type, for example).
A start signal causes the flip-flop to open the gate. The stream
of pulses from the master oscillator is permitted by the open
46 THE BASIC ELEMENTS OF MACHINE COMPUTATION
gate to reach the pulsing counter and also to follow the lines
shown in the diagram to other parts of the circuit. The decimal
pulsing counter counts exactly 10 pulses, going through one
complete cycle in doing so. When it reaches zero again, the
tenth stage, it generates an impulse on the reset input to the flip-
flop. This closes the gate, suppressing the passage of the 11th,
12th, and succeeding pulses from the master oscillator. In
master
oscillator
GATE
DECIMAL
PULSING
COUNTER
FLIPfFLOP
II |i
SET
RESET
START
A
SET
RESET
i r
flip4flop
DECIMAL
ADDEND
REGISTER
DECIMAL
AUGEND a SUM
ACCUMULATOR
r^
GATE
(MINUS)
GATE
(PLUS)
_ J
Fig. 4-5a. An idealized single-digit decimal adder.
short, the upper part of Fig. 4-5a illustrates a device for
introducing exactly 10 pulses on a pulse bus each time a start
signal is received.
Let us consider the use of this circuit in solving a simple
single-digit decimal addition problem involving no carry-over.
Suppose it is required to add the single-digit decimal numbers 3
and 5. First, the addend, 3, is stored in the decimal addend
register, which is a ring counter of the type described in Chap. 3
which can be set to represent a particular digit. The number 3
is stored in this counter simply by setting the counter on its
third position.
The accumulator shown in the lower left-hand corner of Fig.
4-5a is a similar ring counter, in which the augend 5 is stored.
The start signal, as described above, permits 10 pulses from
the master oscillator to be introduced via the bus to the addend
SWITCHES AND GATES 47
register and to the gate labeled gate (plus). This gate is closed,
however, at the beginning of the operation. The pulses therefore
do not enter.
The addend register, as indicated above, was set on the third
step of its cycle prior to the introduction of the train of 10 pulses.
The first seven pulses in the train advance it through the rest of
its cycle to zero. When the register transfers from the ninth
step to zero, it opens the gate labeled gate (plus). With this gate
open, the last three pulses of the train of 10 reach the decimal
accumulator, where the number 5 has already been stored.
These three pulses advance the accumulator from 5 to 8, which
is the required sum.
At the close of the operation, therefore, the sum is read from
the accumulator where the augend had originally been set. 3, the
number set into the addend register at the start of the operation,
appears there again at the close of the operation, because 10
pulses have produced a complete cycle of this register, returning
it to 3.
For subtraction, another gate-flip-flop combination is pro-
vided, as shown by the dotted lines of Fig. 4-5a. Suppose it is
required to subtract 3 from 5. 3, which is the subtrahend in this
example, is set into the same register in which it appeared in the
preceding example as the addend. 5, the minuend, is set into the
register used for the augend in the addition example. The start
pulse opens the subtract gate labeled gate (minus). It also causes
the gate leading from the master oscillator to the counter to be
opened. The first seven pulses reach the accumulator via this
gate, cycling it from 5 to 2. This gate is closed after the seventh
pulse has passed, just as the gate (plus) was opened in the preceding
example. The required difference, 2, is thus obtained in the
accumulator by a process which amounts to the addition to
5 of 7, the 10's complement of 3. (The carry-over is disregarded.)
In practice it is very difficult to operate a counter in the fashion
described. Close timing is required when the register counter
switches from 9 to 0 because the same signal which effects this
advance in the register must also be routed through the proper
add or subtract gate. For this reason the elementary con-
figuration shown is not actually used. Instead, a separate
source of pulses is used to drive the add or subtract gate, and this
stream is delayed slightly in relation to the series of pulses which
48 THE BASIC ELEMENTS OF MACHINE COMPUTATION
drives the register. These two streams of pulses are accurately
synchronized, and the delay is held constant within close limits.
If this system is expanded to handle more than one decade,
it is necessary to use complements with respect to 9 instead of 10
in all but the last decade in order to carry out subtraction. How-
ever, the register counter requires 10 pulses in order to effect a
complete cycle. For this reason the register in a practical
I0S PULSES
DECIMAL
ADDEND
REGISTER
m
_ 1
START
SET 1
1 ■ T
FLIP-FLOP
'S PULSES
GATE
(MINUS)
SUBTRACT
GATE
(MINUS)
GATE
(PLUS)
GATE
(PLUS)
ADD
DECIMAL
ACCUMULATOR
Fig. 4-56. A practical decimal adder element.
machine is driven by a series of 10 pulses while the gates leading
into the accumulator are driven by series of 9 pulses which are
synchronized with the spaces between the 10's pulses. No
matter how complex the computer, however, only one standard
pulse generator is needed to drive everything else. With a
source of accurate 10's pulses and synchronized interspersed 9's
pulses in the computer, an elementary single-digit adder resembles
the device shown in Fig. 4-56. In this figure the 10's pulses are
routed to the register as before and cause this device to cycle
once around. The 9's pulses meanwhile are reaching the two
gates associated with the flip-flop. One of these gates is closed
SWITCHES AND GATES 49
from the time the start signal is received until the register transfers
from 9 to 0, whereupon it opens. The other gate, which is used
for subtraction, does the opposite. Two additional gates are
shown, one each for addition and subtraction; one of these two
is kept open throughout the operation and causes the operation
to be either addition or subtraction. The outputs of these two
gates are buffered together and brought to the input of the
accumulator. The accumulator thus receives either the contents
of the register (add) or the 9's complement of the register contents
(subtract). This arrangement of pairs completely avoids the
difficulty of having a set and a reset pulse reaching the flip-flop
at almost the same time when the register flips from 9 to 0.
This is essentially the scheme of operation of the register-
accumulator connections for a single digit in the ENIAC, which
will be described more completely in the third example. The
example just given shows the use of gates for data switching
(i.e., switching streams to indicate add or subtract) and for data
conversion (the pulsing of the register by the 10's pulses to con-
vert the register contents to pulses).
4-5-2. An Elementary Parallel Adder. The second example
illustrates a method for handling multiple-digit numbers, which
involves carry-overs. This method is not the most efficient
but will serve for the purpose of illustration. The combination
of units shown in Fig. 4-6 can add two three-digit decimal
numbers and perform the required carries. It can also take the
difference by means of 9's complement addition. In this example
let us assume that 379 is stored in the register and 468 is stored
in the accumulator. They can be stored by the use of the settable
counter or by first setting the counters to 000 and pulsing each
digit ring the appropriate number of times. For addition, three
distinct operations are involved. First, the units ring of the
register is cycled with the 10's pulses as described in the previous
example, and the output is used to control the add gate routing
the selected pulses from the stream of 9's pulses into the units
ring of the accumulator, thereby setting this ring to its new
value (7). Meanwhile, another flip-flop connected to the units
ring of an accumulator takes cognizance of the fact that this
ring has passed from 9 to 0 in the process of bringing up the 7,
and it serves to open a special carry gate. After the stream of
10 pulses has been completed, a special 11th pulse is sent to the
50 THE BASIC ELEMENTS OF MACHINE COMPUTATION
carry gate. Since this gate is open because of the carry-over,
the 11th pulse can enter the 10's ring of the accumulator. The
1 1th pulse is supplied by the same master pulse-generating equip-
ment which supplies the 10's pulses and the 9's pulses, and it is
properly phased with them. So far the digit 9 has been added
IOs PULSES
— *-
I02
-^
10'
10°
REGISTER
REGISTER
REGISTER
FLIPtFLOP
'S PULSES
1
START
FLIPtFLOP
ADD
GATE
10s
START
FLIP-FLOP
ADD
GATE
ACCUMULATOR
O
CARRY
FLIPtFLOP
RESET
CARRY
GATE
CARRY
PULSE
10'
START
ACCUMULATOR
O
CARRY
FLIPtFLOP
RESET
CARRY
GATE
I0l
ACCUMULATOR -*J
CARRY
FLIPtFLOP
RESET
CARRY
GATE
Fig. 4-6. A multiple-digit decimal adder.
to the numbers 468 in the accumulator and has produced the
new number 477, which is correct, including the handling of the
carry-over. The entire process is repeated except that the next
stream of 10's pulses is routed into the 10's ring of the register,
where they serve to rotate the 10's ring of the accumulator by an
appropriate amount, and the 11th pulse again causes a carry-over,
this time into the 100's ring of the accumulator. One more
repetition of the process on the 100' s ring of the register com-
pletes the entire operation, and the number 847 stands in the
SWITCHES AND GATES 51
accumulator. Switching of the input streams of 10's and 9's
pulses would be accomplished by additional gates.
On a desk machine, subtraction is carried out by running the
machine wheels and carry backward. For a machine involving
electronic counter rings this is not convenient, and some scheme
which has the same effect must be sought. Except for carry,
it would suffice to turn each ring forward a number of steps equal
to 10 minus the digit appearing in the subtrahend. When carry
is taken into account, it turns out (as every desk-calculator
operator knows) that the lowest order digit which differs from 0
is complemented with respect to 10, the higher order digits are
complemented with respect to 9, and the zeros at the low end of
the number, if any, are left unchanged; the resulting number is
added to the minuend, and the final carry to the left is ignored.
(The term complemented with respect to 10 means that the digit
is replaced by the digit to which it must be added to give the
number 10.) Thus to subtract 3,790 from 4,681, the comple-
ment of 3,790 is written 6,210, and this is added to 4,681, ignoring
the final carry, to give 0,891. Since the position of the digit to
be complemented with respect to 10 depends on the number being
complemented, this method is not easily applicable to automatic
machinery. An equivalent scheme results from noticing that
the complement obtained in this fashion exceeds by 1 the number
which would be obtained by taking the 9's complements of all
digits. Subtraction on many machines including the ENIAC
is carried out in this fashion: the 9's complement of the subtra-
hend is added to the minuend, ignoring the final carry, and 1 is
added to the result. Thus, for the example above, 6,209 would
be added to 4,681, ignoring the final carry, to obtain 0,890, and 1
is added to the result to obtain 0,891. The correcting pulse
which is used to add 1 may initiate some carry-overs. There-
fore, after it occurs, it is necessary to operate each of the special
carry gates once, beginning with the one of lowest order. Alter-
natively, the digit of the lowest order might be corrected immedi-
ately after adding the complement of the lowest order digit in
the register. No net gain would result from this scheme since
the same amount of time would have to be consumed when
pulsing the digits of high order.
Some improvement in the scheme of addition and subtraction is
realized when carry-over is accomplished while cycling the
52 THE BASIC ELEMENTS OF MACHINE COMPUTATION
counters, thus eliminating the need for an 11th pulse to follow
later. This is analogous to the scheme used on ordinary mechani-
cal counters, in which the input directly turns over the number of
wheels required. The elementary parallel adder Ss a compara-
tively slow device since it is capable of handling only one digit
at a time. Thus, in the example cited, an addition takes 30
pulse times. In general, if the machine is handling numbers of m
digits on the radix r, the total time for addition in this type of
device is rar. This becomes an appreciable factor if m is 10
or more. The more advanced type of parallel adder described in
the following example is faster.
4-5-3. An Improved Parallel Decimal Adder. The method of
addition employed in the ENIAC requires the simultaneous
use of two complete accumulators and furnishes an example of
an elaborate usage of gates, buffers, and EPDCC's. Altogether,
each accumulator decade requires the use of 45 tubes (actually
contained in 32 envelopes) to carry out the functions of addition,
subtraction, carry-over, accumulative carry, and clearing, plus
a number of necessary electronic operations of no direct arith-
metic importance. Thus, to carry out a simple addition (or
subtraction) of two 10-digit decimal numbers, 900 tubes are
required for digit accumulators and another 14 for plus-minus
sign indication. This does not include the common pulse-
generating equipment and the program controls which bring
these accumulators into play.
Figure 4-7, a block diagram of a single ENIAC accumulator
decade, illustrates the functions of the various tubes. One
decade ring is used to store each digit of the addend and one to
store each digit of the augend and later the sum. The former
unit is in the transmit condition and the latter in the receive
condition. In addition to the 20 tubes of the decade ring itself,
there are the following components listed by identification
number:
1. Buffer for cycling the ring when the accumulator is used to
transmit a number (add or subtract).
2. Gate for receiving pulses when accumulator is receiving.
3. 4, 5, 6. Pulse standardizer and driver tubes to drive the
ring on any operation.
7. Gate for control of carry-initiating signal.
SWITCHES AND GATES
53
8. Gate for synchronizing the timing of the carry and for
resetting the carry flip-flops.
9, 10, 11, 12. Flip-flop and associated gates for remembering
when a carry is required and for implementing the carry
CARRY PULSE TO
NEXT DECADE
23
\
CARRY-CLEAR
'
GATE- (RECEIVE)
24
- (
* V
®-
DIGITS
SUBTRACT
OUTPUT
ADD
OUTPUT
CARRY PULSE FROM
PREVIOUS DECADE
Fig. 4-7. ENIAC accumulator.
when signaled by tube 8. Also used on transmit to produce
the add pulses and the 9's complement pulses from the 9's
pulses.
13, 14. Gates used to choose sum or difference for output.
15, 16. Amplifiers.
17, 18, 19, 20. High-power output buffers to permit the con-
54 THE BASIC ELEMENTS OF MACHINE COMPUTATION
nection of many accumulator transmitters to a single
number-transmission bus.
21, 23. Amplifier and gate for the control of a single carry.
22, 24. Same for accumulative carry.
The improvement afforded by this arrangement is the increase
in speed realized by having all decades of an accumulator pulsed
simultaneously rather than in the sequential manner indicated
in the previous example. Theoretically, this addition should
require m + r cycles (as compared to mr machine cycles for the
example previously discussed) in order to handle the possibility
of as many carries of an m-digit number of radix r. The EN I AC
actually requires 2r machine cycles for any value of m up to
the maximum possible value 20. This is caused by the provision
of two complete independent carry circuits on each decade, one
for ordinary single carry and one for the accumulative carry
(in which one carry may originate another, such as the addition
of 00 • • • 001 to 99 • • • 999). In the block diagram of
Fig. 4-7, a single carry would flow through gate 8 and tubes 21
and 23 to the decade of next higher order. If this should create
another carry, it will flow through 3, 4, 5, 6 of the next decade
to the input of the ring (flipping it from 9 to 0), and gate 7 will
cause this same pulse to pass without further delay directly to
22 and 24 and thence to the next higher decade. The timing of
the 10's and 9's pulses is as described in the earlier example and
constitutes the first half of an addition time. In the second half
the carry-over tubes 23 and 24 are opened, and gate 8 is pulsed by
a reset pulse. Sufficient time must be allowed to permit an
accumulative carry of maximum length and to terminate this
operation and initiate the next one. The total time for both
halves is 200 microseconds. The timing of the ENIAC as a
whole is controlled by 20 pulses generated by a cycling unit in
which a master oscillator, a 20-stage ring, and numerous gates
and signal shapers all combine to produce a set of standardized
pulses which are made available throughout the entire machine.
REFERENCES
1. Aiken, H. H., and G. M. Hopper, The Automatic Sequence Controlled
Calculator — I, Electrical Engineering, Vol. 65, Nos. 8 and 9, pp. 384-391
(August-September, 1946); The Automatic Sequence Controlled Calcu-
lator—II, ibid., No. 10, pp. 449-454 (October, 1946); The Automatic
SWITCHES AND GATES 55
Sequence Controlled Calculator — III, ibid., No. 11, pp. 522-528 (Novem-
ber, 1946).
2. Burks, A. W., Electronic Computing Circuits of the ENIAC, Proceedings
of the Institute of Radio Engineers, Vol. 35, pp. 756-767 (1947).
3. Cornelius, E. C, Germanium Crystal Diodes, Electronics, Vol. 19,
No. 2, pp. 118-123 (1946).
4. Dicke, R. H., A High Speed Coincidence Circuit, Review of Scientific
Instruments, Vol. 18, pp. 907-914 (1947).
5. Harvard University, Staff of the Computation Laboratory, A Manual
of Operation for the Automatic Sequence Controlled Calculator, Annals
of the Computation Laboratory of Harvard University, Vol. I (Harvard
University Press, Cambridge, Mass., 1946).
6. Kurshan, Jerome, Cathode-Follower Gate Circuit, Review of Scientific
Instruments, Vol. 18, pp. 647-649 (1947).
7. North, H. Q., Properties of Welded Contact Germanium Rectifiers,
Journal of Applied Physics, Vol. 17, pp. 912-923 (1946).
8. Rossi, Bruno, Method of Registering Multiple Simultaneous Impulses
of Several Geiger's Counters, Nature, Vol. 125, No. 3156, p. 636 (1930).
9. Stephens, W. E., Crystal Rectifiers, Electronics, Vol. 19, No. 7, pp.
112-119 (1946).
10. The Stevens Arnold Co., Inc., South Boston, Mass., Millisec Relay
(1948). Pamphlet.
11. University of Pennsylvania, Staff of Moore School of Electrical Engi-
neering, Report on the ENIAC, Technical Report I (University of
Pennsylvania, Philadelphia, Pa., June 1, 1946). 2 vols.
12. University of Pennsylvania, Staff of Moore School of Electrical Engi-
neering, Functional Description of the EDVAC, Research Division Report
50-9, a report of development work under contract W-36-034-ORD-7593
with the Ordnance Department, Department of the Army (University
of Pennsylvania, Philadelphia, Nov. 1, 1949). 2 vols.
CHAPTER 5
A FUNCTIONAL APPROACH TO MACHINE DESIGN
5-1. Introduction
In the design of a general-purpose digital computing machine,
it is necessary to organize elementary potential digital computing
components, switches, and gates into a device which can receive
input information and operate upon it in a specified manner
according to chosen systems of arithmetic and numerical analysis.
The operations performed are initiated by information derived
either from the data-input system or from the results of the
arithmetic computation within the machine. This information
is used to select specific commands from a group of operational
commands which control the process of computation. The
number of operational commands available and the extent of
facilities for storage should be large enough that the arithmetic
computations within the machine can be performed expedi-
tiously. At the same time a minimum of circuit complexity
is desired.
An example of a typical arithmetic problem is presented in
the following paragraphs. Several approaches to its solution,
each demonstrating a method suitable for use with a machine of
different capabilities, are set forth. The exposition is intended to
show how a machine which can perform only a few simple arith-
metic operations, in accordance with correspondingly simple
instructions, can be made to solve a typical problem by following
a set of explicit instructions. It is intended to show, also, that
the arithmetic techniques to be followed in solving a particular
problem efficiently on any given machine must be selected with
regard for the capabilities of the machine. Conversely, when a
new machine is to be designed, a consideration of its intended
uses, i.e., of the kinds of problems it will be asked to solve, is of
obvious importance in deciding what arithmetic operations it
should be designed to perform.
56
A FUNCTIONAL APPROACH TO MACHINE DESIGN 57
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58 THE BASIC ELEMENTS OF MACHINE COMPUTATION
6-2. An Example
Suppose x and y denote two measurable physical quantities,
such as the orthogonal components of a velocity which varies in
magnitude and direction but remains at all times in the plane
of x and y. A large number of measurements of corresponding
values of x and y have been made. The problem is to compute
the scalar magnitude of the velocity vector for each pair of x
and y values, i.e., to compute the square root of the sum of the
squares of corresponding x's and y's. Table 5-1 contains 10 such
pairs of values of the measured quantities, in columns headed
x and y. This table contains also the value of u, where
u = -\/x2 + y2
for each pair of x and y values. The meaning of each of the blank
columns in the table will be made clear shortly.
Suppose the values of u are to be obtained by means of cal-
culations performed on a desk machine which can perform
addition, subtraction, multiplication, and division directly but
has no automatic device for extracting the square root of a
number. To obtain the square root of x2 + y2, therefore, some
method of approximation will be required. (Chapter 7 dis-
cusses such methods, and Chap. 8 contains a summary of the
properties of various commercially available desk calculators;
no detailed discussion of either of these topics is of primary
importance here.) Let us also suppose two additional factors:
(1) the value of y shown in the table for the first measurement is
known to be exactly zero as a consequence of the way the experi-
ment was run, and (2) the measurements were made frequently
enough so that succeeding values of u are known to lie close
together. Because succeeding values do lie close together, each
computed value of u may be used as the assumed value in the
next step of the computation. uk, the kth value of u, may be
found by using the formula
_ [Q2 + y2)/uk-i] + Uk-i
Uk ~ 2
The detailed instructions for carrying out the computation
expressed by this formula may be given to a machine operator
in the following form:
A FUNCTIONAL APPROACH TO MACHINE DESIGN 59
1. For measurement No. 1 copy the number x into the column
headed u.
2. For each of the other measurements, in order, multiply the
number x by itself; add to the product, without removing
it from the machine's register, the product of the number y
multiplied by itself. This leaves x2 + y2 in the product
register.
3. Clear the quotient register, leaving the accumulated product
in the machine, and divide this product by the entry in the
u column computed for the next earlier measurement, or
uk-i.
4. Transfer the quotient to the product register and add to it
the entry from the u column computed for the next earlier
measurement, uk-i.
5. Clear the quotient register and divide the number in the
product register by 2; write the result to four decimal
places in the column headed u.
5-2-1. Variations in the Method. In following the set of
instructions given above the operator had to fill in only the
answer column, headed u, in Table 5-1. The use of the other
columns is illustrated below in an example of the solution of the
same basic problem on a different calculator. Variations in the
arithmetic techniques and, consequently, in the program of
instructions are required because this calculator is not capable
of performing all the operations contained in the foregoing pro-
gram. Analogous variations are required when the same basic
problem is handled on two different large-scale machines.
At the end of step 2 in the calculation described above, the
quantity x2 + y2 had been built up in the product register. The
process of building it up depended upon the ability of the machine
to multiply and to accumulate products. It might be more
convenient to build a machine which would not accumulate
products. In this case, if the machine could multiply, add, and
divide, but all in different components, it might be necessary to
write down the quantities x2, y2, and x2 + y2 as they are com-
puted so that they can be reinserted in the proper places in the
machine at the desired time. For such a machine, the procedure
would be modified in the manner stated before the directions
were turned over to the operator. Furthermore, the x2 column
of Table 5-1 would be filled during the computation.
60 THE BASIC ELEMENTS OF MACHINE COMPUTATION
A more serious modification is required if the machine will
not carry out some of the arithmetical operations used. Suppose,
for example, that the machine will not divide easily. There
are two divisions in the process, and they would have to be
replaced. The second is division by 2, and it is simply replaced
by multiplication by 0.5000. The first is division by the next
earlier value of u; this is more difficult. Methods described in
Chap. 7 permit an easy running computation of a slowly changing
value for vr1, using only the operations of multiplication and
subtraction. It is convenient to use the fact that the first x
is exactly 1 and the first y is exactly 0. Then the set of instruc-
tions or commands for a machine incapable of division would have
to be changed from the set above to a set similar to these:
V. For measurement No. 1, write the number 1 in the column
headed u and the column headed vr1.
2'. For each of the other measurements, in order, multiply
the number x by itself; add to the product, without remov-
ing it from the machine's register, the product of the
number y multiplied by itself. This leaves x2 + y2 in the
product register.
3'. Transfer the number in the product register to the key-
board, clear the product register, and multiply the number
by the entry vr1 for the next earlier measurement, vj^}v
4'. Add the entry u for the next earlier measurement, vk-i, to
the number in the product register.
5'. Transfer the number in the product register to the key-
board, clear the product register, and multiply by 0.5.
Write the result to four decimal places in the column
headed u.
6'. Clear the machine and insert the number 2.00000000 in the
product register and subtract from it the product of u
(just calculated) and vr}v
7'. Transfer the number in the product register to a keyboard
(the multiplier keyboard if the machine is equipped for
automatic multiplication), clear the product register, and
compute the product of the number just transferred and
the number uj~}v Enter the product to four decimal
places under vr1.
This method of performing division was first brought to our
A FUNCTIONAL APPROACH TO MACHINE DESIGN 61
attention through its use in the Mark II Calculator.3 It may
be stated thus:
u~kl « (2 - u • u^uj^i
but it is not of primary importance in this discussion.
The commands to the operator in this set still make use of
some of the properties which are built into the machine and which
might not be convenient in a machine built on the fast operating
principles being described here. It might be true, for example,
that a convenient machine would not immediately operate on
the result of any other operation; in this case, the properties of
the product register used repeatedly in the list of commands
could not be used to permit double operations like 6', and the
single operation 4' would become more complex. Although no
machine yet proposed has been reduced to the point that the
result of an elementary arithmetic operation is immediately
removed from the computing component, this is certainly a
possibility which must not be ignored. If this were the case for
a machine with a human operator and if the machine were capa-
ble of addition, multiplication, and subtraction but not of
division, then a set of fairly stereotyped commands would be
written, and all the spaces in Table 5-1 except a few for measure-
ment No. 1 would be filled. The following commands or their
equivalent would be required:
1" . Enter the number 1 in the u column for measurement
No. 1.
2". Enter the number 1 in the u~1 column for measurement
No. 1.
For each other measurement in succession proceed as follows:
3". For entry in x2 column, multiply; multiplicand is entry
in x column; multiplier is entry in x column.
4". For entry in y2 column, multiply; multiplicand is entry
in y column; multiplier is entry in y column.
5". For entry in x2 + y2 column, add; augend is entry in x2
column; addend is entry in y2 column.
6". For entry in (x2 + y2)/uk~i column, multiply; multipli-
cand is entry in x2 + y2 column; multiplier is entry in
ir1 column for next earlier measurement, u^}v
62 THE BASIC ELEMENTS OF MACHINE COMPUTATION
7". For entry in 2u column, add; augend is entry in (x2 + y2)/
Uk-\ column; addend is entry in u column for next earlier
measurement, uk-\.
8". For entry in u column, multiply; multiplicand is entry
in 2u column; multiplier is the number 0.5000.
9". For entry in u • %l\ column, multiply; multiplicand is
entry in u column; multiplier is entry in u~x column for
next earlier measurement, u^v
10". For entry in 2 — u • u^li column, subtract; minuend
is the number 2.00000000; subtrahend is entry in u • uj^i
column.
II". For entry in u~l column, multiply; multiplicand is entry
in 2 — u ■ u^li column; multiplier is entry in u~l column
for the next earlier measurement, uj^}v
The stereotyped nature of the commands renders an advantage
in clarity and in ease of writing a program. It should be noted
that each command except for the unnumbered command "For
each other measurement in succession:" consists of a prescribed
arithmetical operation, addition, subtraction, or multiplication,
in which the two entering numbers are specified by their position
in Table 5-1 and in which the disposition of the resulting number
into a position in Table 5-1 is specified. Burks, Goldstine, and
von Neumann2 have pointed out the advantages of establishing
a simple stylized form of this general type no matter what the
characteristics of the machine. For the convenient operation
of a general-purpose machine, they point out, it is essential that
some steps be taken to translate the nonconforming command
quoted above to the same stereotype form. This translation of
description of all possible operations to prescribed forms has been
called the logic of the machine by these authors, and the term
is now in general use.
5-3. Machine Requirements
The earlier part of this chapter describes a simple calculation
in which various postulated types of machinery operated by a
human operator are used. The two preceding chapters describe
techniques which seem to promise arithmetic calculation with
the elementary operations requiring only microseconds for com-
pletion. For a machine using these new components, a human
A FUNCTIONAL APPROACH TO MACHINE DESIGN 63
operator intervening at every command would encumber the
machine with a slow-moving element whose reaction time is
intolerably long. For example, during a second of time the
machine is capable of carrying out 1,000 multiplications, but the
operator is capable of issuing at most a single command. It is
essential that a sequencing mechanism similar to, but faster
than, the human operator be built into the machine if its potential
speed is to be utilized.
An automatic sequence-controlled calculator is a computing
machine into which such a mechanism is built. It follows a pre-
scribed set of explicit instructions automatically.
Such a machine is usually much faster and more accurate than
a twelve-year-old arithmetic student, but less versatile. Its
lack of versatility can be offset by its speed because combinations
of a few simple operations can be made to effect results equivalent
to those which would be produced by the twelve-year-old in
response to less explicit instructions. These combinations of
simple operations are therefore components of computation.
A sheet of paper, Table 5-1, was also included as a component
used in the calculation described above. This sheet of paper
is so inexpensive that it is overlooked frequently as a component,
but those experienced in calculation know well that most of the
time required in calculation and essentially all the errors of the
calculation are connected with the reading of data from and the
entering of data on this sheet of paper. The potentialities of
speed of computation with the new components and the resulting
extent of calculations which can be made in a reasonably short
time demand a storage medium which is faster and more accurate
than pieces of paper marked and read by a human operator.
It is also obvious that when complicated calculations are per-
formed in small increments, a voluminous storage outside the
arithmetic units is required to store the partial results until they
are pieced together into a final solution. The voluminous
storage to which quick access must always be available is at
present a chief consideration in connection with computing
instruments. Many machines have several different storage
units, some of which are more quickly accessible than others.
Finally, implicitly, the problem examined above had input data
furnished by some source and output data read by some inter-
preter. It is true that these input data appeared on the basic
64 THE BASIC ELEMENTS OF MACHINE COMPUTATION
storage medium of the machine (Table 5-1) and that they were
read from this basic medium by the final interpreter, but this is
not necessarily a general state of affairs. It is likely that a
sufficiently fast and accurate storage component for a machine
of the speed considered here will be an integral part of the
machine, not a detachable part. Thus some convenient attach-
able medium for input of basic data must be provided, and some
convenient detachable medium for output of results must also
be provided.
5-4. Stereotyped Commands for the General -purpose Machine
For the sample problem, somewhat similar to some problems in
data reduction, a set of 11 commands of a stereotyped nature,
designated by 1" to 11", and one command not stereotyped
located between commands 2" and 3" were written above. If
these commands are carried out in sequence, the data will be
reduced as required. These commands have the advantages
that a few commands govern a large number of calculation steps
and that the commands themselves are all similar (except for
the one nonconforming command); specifically, their similarity
is that each specifies an arithmetic operation, and each specifies
where the numbers entering into this operation can be found and
where to dispose of the number generated by this operation.
These commands have disadvantages in that they were written
down with no particular regard for the engineering aspects of
the computing components and they include the nonconforming
command.
A set of 43 commands is listed below. Each is of a stereotyped
nature, is written with some regard to ease of engineering achieve-
ment, and is so chosen that the sequence of 43 commands controls
the same set of calculations as the earlier sequence. In this
sequence there are no nonconforming operations, and every
operation has a stereotyped form. This form specifies a desig-
nator for the operation, a description of the operation, and the
location of one number involved in the operation. No operation
requires further specification. In an engineering realization,
the designator does not turn out to be a part of the command
itself but is a statement of where the command is to be placed
in the machine. It is assumed that the location of the number
involved in the operation is itself a numerical code with 10
A FUNCTIONAL APPROACH TO MACHINE DESIGN 65
assigned values. Thus, every command can be written as a
number, a few digits of which state the code number describing
the prescribed operation and the remaining significant digits of
which state the address code number of a number involved in the
operation. In addition, the designator, or the place in the
machine at which this command will be placed, must also be
specified.
A machine for which commands can be written in this way is
clearly a versatile machine. Since the commands are numbers
and since the machine must expect to have numbers introduced
to it in some fashion, it certainly should not be difficult to enter
these coded commands into the machine. Since a small number
of commands will control a lengthy calculation, the amount of
time spent in writing these commands down for insertion into
the machine is not intolerably long. Since only a few different
operations are required, the engineering structure of the machine
may be expected to be attainable fairly simply. Commands
of this sort have been described most completely and lucidly by
Burks, Goldstine, and von Neumann.2 They describe a set of
21 operations which suffice for conveniently carrying out most
problems from a large field. The authors describe the machine
on which these commands will be carried out specifically enough
to give a general idea of the engineering considerations involved.
Bloch, Campbell, and Ellis1 have described a set of commands
more nearly of the type used in the list 1" to 11". This publica-
tion may be more readily available than the Burks, Goldstine,
and von Neumann paper, but the description is not as complete
in some respects. On the other hand, a special checking scheme
and some other novel ideas are discussed by Bloch, Campbell,
and Ellis.
The commands which will be used below are a set taken essen-
tially from the set proposed by Burks, Goldstine, and von Neu-
mann.
5-4-1. Description of the Machine. The input and output of
the machine will be ignored in this description. The machine
will possess a storage element, an arithmetic element, and a
control element. The arithmetic element will contain two main
units: the accumulator, which will be denoted by the letter A,
and the multiplier register, which will be denoted by the letter R.
Addition can take place in the accumulator. It will be assumed
66 THE BASIC ELEMENTS OF MACHINE COMPUTATION
that these elements can handle numbers of the sizes which will
occur (although the accomplishment of this assumption may
not be perfectly straightforward). The positions in which
numbers can be stored will be addressed by numbers; thus, an
address is an ordinal number of a position in storage, at which
position a number involved in the calculation is to be found or
to be placed. It will be assumed that the storage facilities are
adequate for the problem in hand and that the size of the arith-
metic unit is sufficiently great to carry out the calculations which
will later be seen to be involved in modifying the commands.
(Specifically the arithmetic unit must handle numbers as large
as the largest ordinal number occurring in connection with the
storage.) The commands which the machine is capable of
following are described below in the order of their appearance in
Table 5-2, starting on page 69.
The first operation that the machine will be required to carry
out is the clearing of the accumulator and the insertion in the
accumulator of the number at a designated address. This
operation occurs first in command V" below. The machine
will be built so that the number placed into the accumulator
remains unchanged in its storage position. The operation will
not affect R.
The second operation is the inverse of that above; it is the
operation of storing at a specified address the number which is
in the accumulator. This operation destroys any number
previously stored at that address, leaves intact the number in A,
and does not affect R. This operation occurs first in command
2'" below.
The third operation is the operation of destroying any number
which is in R and replacing it by the number at a specified
address; this operation occurs first in command 3'". The
number remains unchanged in its storage position, and the
operation does not affect A.
The fourth operation causes the number in the accumulator to
be destroyed and the product of the number in the R register, as
multiplier, and the number at a specified address, as multiplicand,
to be inserted in A. This operation occurs first in command
4'". The number at the specified address remains unchanged;
the number in R will be destroyed during the operation.
The fifth operation retains the number in A and adds to it the
A FUNCTIONAL APPROACH TO MACHINE DESIGN 67
number at a specified address. It occurs first in command 8'".
The addend remains unchanged in its storage position. The
operation does not affect R.
The sixth operation is a subtraction operation similar to the
one above. The number in A is retained, and the number at a
specified address is subtracted from it, the difference being kept
in A. The operation occurs first in command 21'". The
number at the specified address remains unchanged at that
address, and the operation does not affect R.
The seventh operation occurs first in command 28'" below.
To understand it, it is necessary first to have described the normal
sequencing of commands. A program like the one written
below is set up in a fixed sequence. The machine automatically
carries out each command in the order of this sequence unless a
command tells it to depart from this order. (Bloch, Campbell,
and Ellis1 describe a different procedure for specifying the order
in which commands are to be carried out.) Thus, a few com-
mands must be used to change the order in which commands
are carried out. If these commands were not included, it would
be impossible to recycle, and it would be necessary to write one
command for every arithmetical operation the machine is to
carry out. This seventh command is one used for altering the
sequence conditionally; if the number in the accumulator is a
negative number, there is no alteration in sequence, and the
machine next carries out the next command (29'"), but if the
number in A is nonnegative, the machine passes to the command
specified in the address portion of command 28"'. 28'" is called
a conditional transfer command or conditional jump.
The description of this operation and of one or two others
below is made more precise by specifying that the commands
themselves will be placed in the storage unit of the machine.
This is possible because the commands can be written as numbers.
It was pointed out above that all that is required is that the
operations to be carried out be assigned code numbers and that a
complete command be written as a code number specifying an
operation followed by one specifying a numerical address. The
digits of these two parts may be run together to form a single
multidigit number. The description is complete when it is
stated that the designator of the command is simply the address
in the storage system at which the command is stored. Sue-
68 THE BASIC ELEMENTS OF MACHINE COMPUTATION
cessive commands in the sequence of commands will be stored
at successively numbered addresses. Thus, the control unit
will be required to start at a specified place and to withdraw
commands from storage. After each command is carried out,
the control unit passes to the next higher numbered storage cell
for the next command unless it has been instructed by the com-
mand just carried out to depart from the standard command
sequence. Thus recycling and alternate sequences are made
possible.
The eighth operation is similar to the second except that the
information transferred from A to the storage unit is restricted to
be information concerning the address of a command. No
matter what is in the accumulator, the portion of the stored
command having to do with the operation to be carried out will
not be changed; the only change is a change in address. This
is an operation which is of fundamental importance in removing
the nonconforming command of the set described earlier. The
operation first occurs in command 31'".
The ninth operation of the set is one which instructs the control
to depart from the standard sequence of commands. The nature
of its utility is apparent from its use in command 43'" below.
Nothing in the arithmetic unit or the storage unit is affected by
this command, which is called an unconditional transfer.
The final operation of the set appears in storage at cell j.
It tells the machine to stop calculations. Without this command
the machine at the end of a calculation would proceed with
meaningless and possibly harmful calculations.
5-4-2. The Coding. A coding which uses the operations
described above can be written immediately from the set 1"
through 11". All numbers involved will be assumed to have
been inserted in storage. Addresses in storage will correspond
to specification of position (measurement number and column
heading) on the work sheet referred to earlier. A block of
storage addresses must be assigned to each column in which are
written data which must be retained permanently; these are
the columns headed x, y, and u. The other numbers (which
were never written down at all in the program 1 through 5 above)
are assigned space as necessary during the time they must be
saved; these numbers are then discarded in favor of their suc-
cessors. Finally, a block of consecutively numbered addresses
A FUNCTIONAL APPROACH TO MACHINE DESIGN 69
Table 5-2. Commands
Designator
Operation
Address
Remarks
V"
Clear A and insert the num-
ber at
c
2"'
Store number now in A at
d
Completes 2"
3'"
Clear R and insert the number
at
a
4/"
Clear A and insert in it the
number got by multiplying
by the number in R the nurriT
ber at
a
5"'
Store number now in A at
e
Completes 3"
6'"
Clear R and insert the number
at
b
fjrrr
Clear A and insert in it the
number got by multiplying
by the number in R the num-
Completes 4"
ber at
b
8"'
Add to the number in A the
number at
e
9'"
Store number now in A at
e
Completes 5"
10'"
Clear R and insert the number
at
d
11'"
Clear A and insert in it the
number got by multiplying
by the number in R the num-
Completes 6"
ber at
e
12"'
Add to the number in A the
number at
c
13"'
Store the number now in A at
e
Completes 7"
14"'
Clear R and insert the number
at
f
15"'
Clear A and insert in it the
number got by multiplying
by the number in R the num-
ber at
e
16"'
Store the number now in A at
c + 1
Completes 8"
17"'
Clear R and insert in it the
number at
d
18"'
Clear A and insert in it the
number got by multiplying
by the number in R the num-
ber at
c + 1
19'"
Store the number now in A
Completes 9"
at
e
70 THE BASIC ELEMENTS OF MACHINE COMPUTATION
Table 5-2. Commands. (Continued)
Designator
Operation
Address
Remarks
20'"
Clear A and insert in it the
number at
.9
21'"
Subtract from the number in
A the number at
e
22'"
Store the number now in A
Completes 10"
at
e
23'"
Clear R and insert in it the
number at
d
24'"
Clear A and insert in it the
number got by multiplying
by the number in R the num-
ber at
e
25'"
Store the number now at A
Completes 11"
at
d
26"'
Clear A and insert the num-
ber at
h
27"'
Subtract from A the number
at
i
28'"
If the number in the accumu-
Checks to see whether
lator is negative, pass to the
calculation is com-
next command in this se-
plete
quence; if it is not negative,
jump to the command stored
at
J
29"'
Clear A and insert the number
at
h
30'"
Add to the number in A the
number at
c
31'"
Store the number in A as the
address part (leaving the
coded operation unchanged)
of the command
3"'
32'"
Store the number in A as the
address part (leaving the
coded operation unchanged)
of the command
4,„
33'"
Store the number now in A at
h
34'"
Add to the number in A the
number at
k
35"'
Store the number in A as the
address part (leaving the
coded operation unchanged)
of the command
6"'
A FUNCTIONAL APPROACH TO MACHINE DESIGN 71
Table 5-2. Commands. (Continued)
Designator
Operation
Address
Remarks
36"'
Store the number in A as the
address part (leaving the
coded operation unchanged)
of the command
7'"
37'"
Add to the number in A the
number at
I
38"'
Store the number in A as the
address part (leaving the
coded operation unchanged)
of the command
12'"
39'"
Store the number in A as the
address part (leaving the
coded operation unchanged)
of the command
30'"
40'"
Add to the number in A the
number at
c
41'"
Store the number in A as the
address part (leaving the
coded operation unchanged)
of the command
16"'
42'"
Store the number in A as the
address part (leaving the
coded operation unchanged)
of the command
18'"
43'"
For the next operation pro-
Repeat command 3'"
ceed in order after jumping
and all following.
to command
3'"
This command re-
places the unstereo-
typed command be-
tween 2" and 3" on
the earlier list.
is assigned to the 43 commands V" through 43'". The control
unit causes the commands to be carried out in sequence except
where deviations are commanded by one of the sequence of
commands.
Specifically, in summary, the storage unit is loaded as follows:
The numbers x are stored at consecutively numbered addresses,
with the first at address a. The numbers y are stored at con-
secutively numbered addresses with the first at address b. The
numbers Uk as computed will be placed in consecutively numbered
72 THE BASIC ELEMENTS OF MACHINE COMPUTATION
addresses with the first at address c. Suppose that there are n
measurements; then the last x is stored at a + n — 1, etc. A
block of 43 consecutive addresses is assigned to the coded com-
mands V" through 43'". Special numbers are stored at address
d and eight other addresses designated by letters e through I
according to the scheme below :
Address Number
c 1
d Latest entry for u~l
e Latest entry for x2, x2 + y2, 2u, u • wjT.li, and 2 — u • Wj^}_x in order
/ 0.5
g 2
h The number a, to be replaced by the current address
i The number a + n
j The coded value of the command stop calculation
k The number b — a
I The number c — b
Note that command I" of the early set has been carried out
already through these storage operations.
5-5. Plan for General-purpose Machine
The example above indicates a plan for the convenient opera-
tion of a general-purpose machine. The operational requirement
is simply that a few written commands can conveniently control
a lengthy calculation. The realization of the requirement
suggested is by means of a few stereotyped command forms,
each of which specifies an operation and one or more storage
positions. The arithmetic element must be able to carry out
the operations contained in these stereotyped commands. The
control element must go through the pertinent commands in
order, translate the coded description of the operations to pulses
along busses which will cause the arithmetic elements involved
to carry out the specified operations, and direct numbers to and
from the specified storage locations.
The requirement that a few written commands direct a long
calculation is attained by (1) the inclusion of facilities permitting
the reuse of commands with the operations unchanged and the
addresses changed if desired; and (2) an operation permitting a
departure from the normal sequence to a secondary one (con-
A FUNCTIONAL APPROACH TO MACHINE DESIGN 73
sisting of a single conditional transfer command in the example),
the departure to depend on the calculation.
REFERENCES
1. Bloch, R. M., R. V. D. Campbell, and M. Ellis, Logical Design of the
Raytheon Computer, Mathematical Tables and Other Aids to Computation,
Vol. 3, No. 24, pp. 286-295, 317-322 (October, 1948).
2. Burks, Arthur H., Herman H. Goldstine, and John von Neumann,
Report on the Mathematical and Logical Aspects of an Electronic Computing
Instrument, 2d ed., Part I: Preliminary Discussion of the Logical Design
of an Electronic Computing Instrument (Institute for Advanced Study,
Princeton, N.J., 1947).
3. Harvard University, Staff of the Computation Laboratory, A Manual of
Operation for the Automatic Sequence Controlled Calculator, Annals of the
Computation Laboratory of Harvard University, Vol. I (Harvard Univer-
sity Press, Cambridge, Mass., 1946).
CHAPTER 6
ARITHMETIC SYSTEMS
6-1. Introduction
Most modern arithmetics are founded upon a system for
representing the positive integers in terms of systematic symbols
involving the concept of carry-over. That is, they depend upon
a systematic representation of the counting process. These
arithmetics are the basis of all automatic computing operations
now used.
The basic concepts used in the more usual arithmetics have
been described in Carmichael.3 A detailed exposition will be
given here of the concepts of number theory which may be
applied directly to an understanding of computer arithmetic
systems.
6-2. The Fundamental Counting Systems
The recording of counted numbers in the systems to be studied
here will be by means of an infinite ordered sequence of marks,
of which the first will be considered to be at the right-hand end
and the others to proceed in order to the left. The nature of the
sequence will be defined inductively. In each position the
mark 0 (or a mark with an equivalent meaning) will be admissible
as a mark, and usually one or more other marks will be admissible.
For example, in the decimal system the marks admissible in
each position are the marks 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9. The
admissible marks will not depend upon the marks present in
other positions. For each position, the admissible marks have
an order assigned, and the mark 0 precedes all the rest. (The
order of the decimal marks is that in which they are given above.)
The rule for denoting a number is given in the following parts:
1. The number zero is denoted by a sequence each of whose
elements is the mark 0.
2. To pass from the representation of any number to that
74
ARITHMETIC SYSTEMS
75
of the next higher, the first mark which is not the last
admissible mark for its position is replaced by the next
admissible mark in the set established for its position and
all lower order marks are replaced by O's.
6-3. Examples of Counting Systems
The decimal system of counting follows this rule, with the
understanding that a final string of O's in the sequence, extending
to the left, is not written. As noted above, the ordered set of
marks which may be used in each position is the set 0, 1, 2, 3, 4,
5, 6, 7, 8, 9. The number 57 is, according to the rule, followed
by 58, for 7 in the first (right-hand) position is the first mark
which is not the last admissible one in its position and it is
replaced by 8, the next higher mark. The number 26,999 is
followed by 27,000, for the first three marks are all the last
admissible marks in their positions, so the fourth one (which is
not maximal) is increased by one and the last three are replaced
by O's. The binary number system admits the marks 0 and 1 at
each position, and no others. Thus the counting rule gives the
equivalences shown in Table 6-1 between the first 36 decimal and
binary numbers. In each case, O's after the last nonzero mark
are omitted except for the number zero.
Table 6-1
Decimal
Binary
Decimal
Binary
Decimal
Binary
0
0
12
1,100
24
11,000
1
1
13
1,101
25
11,001
2
10
14
1,110
26
11,010
3
11
15
1,111
27
11,011
4
100
16
10,000
28
11,100
5
101
17
10,001
29
11,101
6
110
18
10,010
30
11,110
7
111
19
10,011
31
11,111
8
1,000
20
10,100
32
100,000
9
1,001
21
10,101
33
100,001
10
1,010
22
10,110
34
100,010
11
1,011
23
10,111
35
100,011
The binary system occurs frequently in considerations of
automatic computers, for many of the basic circuits, such as the
76 THE BASIC ELEMENTS OF MACHINE COMPUTATION
flip-flop, naturally assume two stable states and are therefore
convenient to use with binary numbers.
In the octal system, any one of eight different marks is admis-
sible at each position, e.g., 0, 1, 2, 3, 4, 5, 6, 7 or the binary
equivalents of these same familiar digits, 000, 001, 010, Oil,
100, 101, 110, 111. This system is of some interest wherever
binary numbers occur because conversion between binary and
octal numbers is trivially easy, and octal numbers make a fairly
efficient set for printing and reading. These points are exhibited
in greater detail in Sec. 6-6.
The biquinary system was used as a convenient equivalent
of the decimal system in some machines produced by the Bell
Telephone Laboratories.1 This application is attributed to
Dr. George Stibitz. The system is one in which the decimal
system is factored and written as a system in which the odd-
numbered positions have five admissible marks and the even-
numbered positions have two admissible marks. The admissible
marks for the odd positions are 0, 1, 2, 3, and 4, and for the even
positions 0 and 5. The equivalence of this system with a decimal
system should be obvious, for the sum of a pair of successive
marks can be considered to be a decimal mark itself, there being
10 such pairs. For example, the decimal numbers 4 and 8
are represented in the biquinary notation as 04 and 53, respec-
tively. Carry-over occurs at 10 as in the decimal system.
This arithmetic system is much like the tetraquinary system
of counting of the Mayan Indians, who had at least two systems
of counting, one for general usage and at least one other for dates.
These have been described by Morley4 and by Spinden.7 The
Mayans used a true vigesimal system with a systematic rule of
forming the marks. It is said that the Mayans used their
vigesimal system prior to the time the decimal system achieved
general usage in Europe. In this system there were 20 marks
for each position; however, each mark (except zero) consisted
of from zero to four dots placed over from zero to three bars.
This system was obviously equivalent to a system in which the
odd-numbered positions have five marks (the dot configurations)
and the even-numbered positions four (the bar configurations).
The Mayan zero, a " shell/' was used in the formation of 20, 40,
etc. Although the Mayans used the system as a true vigesimal
number system, they counted as if it were a tetraquinary system:
ARITHMETIC SYSTEMS
77
the number of bars represented the number of hands and feet
they had used up in the count, and the number of dots repre-
sented the number of odd digits on the next hand or foot.
Table 6-2
Decimal
Mayan
Decimal
Mayan
0
1
•
• •
• c •
• • • •
10
11
12
13
14
15
16
17
18
19
•
2
3
4
5
• •
• • •
• • • •
g
•
•
7
• •
• •
g
• • •
• • •
9
• • • •
• • • •
The monetary system used in the United Kingdom may be
thought of as another, more complicated counting system,
satisfying the rule of Sec. 6-2. The mark in the first position
gives the number of pence, the mark in the second position gives
the number of shillings, and the mark in the third position gives
the number of pounds. It is common practice to separate the
different positions by a diagonal (/), writing 26/14/11 for 26
pounds, 14 shillings, 11 pence. There are only three positions.
Assuming that the penny is the unit (i.e., ignoring the halfpenny),
the marks which are admissible in the first position are the decimal
numbers from 0 through 11 in order; those admissible in the
second position are the decimal numbers 0 through 19 in order,
and the infinite ordered set of nonnegative decimal integers is
the admissible set for the third position.
6-4. Three Fundamental Theorems
The main principles of behavior of numbers under different
number representations may be characterized by three elementary
theorems. For all these theorems it will be assumed that there
are ni different admissible marks for the first position, n2 for the
second, nz for the third, etc., with m for the ith.. The theorems
are generally trivially true for any n% which become infinite, and
these cases will be disregarded (e.g., the case of the British
monetary system).
78 THE BASIC ELEMENTS OF MACHINE COMPUTATION
Theorem 6-1. The number of different numbers which can be
represented by configurations with marks different from 0 in at
most the first k positions is the product
Pk = n1n2n3 • • • nk (6-1)
For proof of Theorem 6-1 see Sec. 6-13-1.
From this theorem, it follows that exactly 1,000 (10 X 10 X 10)
different numbers can be represented with three decimal digits;
these are the numbers from 0 through 999, inclusive. Similarly,
to represent 1,000 different numbers with binary digits, 10 digits
will be required, for 1,000 lies between 2 to the ninth and 2 to
the tenth powers (512 and 1,024, respectively, expressed in
decimal numbers).
Theorem 6-2. In the representation of a number x, if pi
represents the number of marks admissible which precede the mark
actually occurring in the first position, if p2 is the number of marks
admissible for the second position which precede the mark in that
position, etc., with pi the number of admissible marks for the ith
position preceding the ith mark, then, conforming with the notation
for P of Eg. (6-1),
x = pi + P2P1 + P3P2 + • • • + PiPi-i (6-2)
For proof see Section 6-13-2. Theorem 6-2 can be used to write
the value in any known arithmetic of a number expressed in
any other arithmetic. Thus, for example, the binary number
10,001,001 may be expressed in decimal notation by noting that
according to the rule it must equal
1 • 27 + 0 • 26 + 0 • 25 + 0 ■ 24 + 1 • 23 + 0 • 22 + 0 • 21 + 1
= 128 + 8 + 1 = 137
Similarly, in a ternary system which has the admissible marks
0, 1, and 2, the ternary number 12,021 has an equivalent decimal
value
1 • 34 + 2 • 33 + 0 • 32 + 2 • 31 + 1 = 81 + 54 + 6 + 1 = 142
Theorem 6-3. If x is a nonnegative number and if m, pi, and
Pi all have the significance defined above for some system of notation
in which x is expressed, then pi is the remainder when x is divided
by rii, p2 is the remainder when this integral quotient (without
remainder) is divided by n2, etc.: explicitly, there exists a set of
ARITHMETIC SYSTEMS
nonnegative integers q0, qh Q2, . . . , Qi such that
q0 = x = riiqi -f pi; 0 < pi < rii
qi = n2q2 + Pt\ 0 < p2 < n2
q< = ni+iqi+i + Pi+i] 0 < pi+1 < ni+1
79
(6-3)
These equations uniquely determine pi. For proof see Sec.
6-13-3.
Theorem 6-3 furnishes a method for writing the expression for
any positive integer in terms of any system of marks, carrying
out the arithmetic in any known system. For example, to
translate the number 137 to the binary system, where every
rii = 2, repeated division by 2 suffices, as shown in Table 6-3.
Table 6-3
i
m
(ffi-i)
(Pi-i)
1
2
137
2
2
68
1
3
2
34
0
4
2
17
0
5
2
8
1
6
2
4
0
7
2
2
0
8
2
1
0
9
2
0
1
Table 6-3 was calculated as follows: First all the numbers n,
were written in their column; then the number 137 was entered
in the center column. The division was performed qi-i/rii, and
the quotient written directly below with the remainder written
in the right-hand column. The binary representation is written
by copying the right-hand column, the upper mark being placed
at the right in copying:
Decimal 137; binary 10,001,001
A warning is in order at this point: this rule stated in Theorem 6-3
cannot be applied blindly to fractional numbers expressed, for
example, with a decimal point.
80 THE BASIC ELEMENTS OF MACHINE COMPUTATION
6-5. Rules of Arithmetic for Numbers with a Single Radix
If all the numbers n,- of a system of notation like those described
above are equal, so that m = r for every i, then the common
value is known as the radix of the system. In particular, the
ordinary decimal number system is the radix 10 system, the
binary system is the radix 2 system, and the Mayan system is the
radix 20 system. For automatic calculating machinery, the use
of a radix implies that the counters at each position can be identi-
cal, so radical numbers are usually used; in cases such as the
biquinary arithmetic described by Alt,1 the use is essentially
as decimal, or radix 10, arithmetic.
For any radix arithmetic the basic tables corresponding to the
addition and the multiplication tables of decimal arithmetic can
be written, and from them the operations of addition, mul-
tiplication, subtraction, and division can be carried out.
For binary arithmetic, the tables are given in Tables 6-4 and
Table 6-4. Addition Table 6-5. Multiplication
~\^^ Augend
Addend ^v^
0
1
Sum
0
1
0
1
1
10
\]VIultipli-
^\cand
Muliplier^\
0
1
Product
0
1
0
0
0
1
6-5. The rules of carry are the same as in arithmetic of any other
radix. The construction of the tables is the same.
For octal arithmetic, the tables are given in Tables 6-6 and
Table 6-6. Addition
v\v^ Augend
>v
0
1
2
3
4
5
6
7
Addend ^\
0
0
1
2
3
4
5
6
7
1
1
2
3
4
5
6
7
10
2
2
3
4
5
6
7
10
11
3
3
4
5
6
7
10
11
12
4
4
5
6
7
10
11
12
13
5
5
6
7
10
11
12
13
14
6
6
7
10
11
12
13
14
15
7
7
10
11
12
13
14
15
16
ARITHMETIC SYSTEMS
81
Table
6-7.
Multiplication
^\Multipli-
^\cand
0
1
2
3
4
5
6
7
Multiplier^
0
0
0
0
0
0
0
0
0
1
0
1
2
3
4
5
6
7
2
0
2
4
6
10
12
14
16
3
0
3
6
11
14
17
22
25
4
0
4
10
14
20
24
30
34
5
0
5
12
17
24
31
36
43
6
0
6
14
22
30
36
44
52
7
0
7
16
25
34
43
52
61
6-7. These tables are unimportant for applications at present,
but their structure should give a sufficient example to permit the
reader to construct others as he may desire.
Examples of binary and octal multiplication and division
complete the exposition. To multiply 11,100,110 by 10,001,001,
start the multiplication as always:
11100110
10001001
11100110
00000000
00000000
11100110
00000000
00000000
00000000
11100110
In summing it is best to sum two nonzero numbers at a time until
experience is gained. Thus the sum of the first and fourth rows
from the top is
11100110
11100110
100000010110
where carries have occurred in all additions after the sixth. Then
adding this sum to the last row, the final product is obtained
82 THE BASIC ELEMENTS OF MACHINE COMPUTATION
100000010110
11100110
111101100010110
with no carries.
For an octal multiplication, consider multiplying 346 by 267.
Again, the multiplying steps:
346
J7
52
34
25
346
346
6
2
44
14
30
10
22
6
2544
714
3112
2544
714
3112
The final totalization is
122152
Binary division is performed in much the same way as ordinary
decimal long division. This may be illustrated in the following
example by dividing the binary equivalent of decimal 137 by the
binary equivalent of decimal 10:
begi
1101
1010)10001001
a 1010
c 1110
d 1010
/ 10001
h 1010
j HI
As shown above, the divisor is placed outside of the long-division
sign, and the dividend is placed inside. By a series of successive
subtractions, a quotient is formed above the long-division sign.
The first step in the division process is to place the divisor beneath
the dividend in a position as far to the left as a positive difference
will allow. This is shown on line a. The first digit 1 of the
quotient is placed at b in the same column as the lowest order
ARITHMETIC SYSTEMS 83
digit of the divisor. The first digit 1 of the divisor signifies
that only one subtraction can be performed before a negative
difference is encountered for this position of the divisor. The
divisor is then subtracted from the dividend to produce the
positive difference (line c). This difference is then compared
with the divisor to note that it is smaller in value than the divisor.
The next digit in the dividend is brought down to the difference
obtained on line c. If the new number on line c is larger than the
divisor, the divisor is then placed under this number and the
subtraction process repeated. If the new number is less than
the divisor, a 0 is placed in the quotient in the same column as
the lowest order digit of the divisor in this position. The next
digit of the dividend is then brought down to the difference,
the divisor shifted one place to the right, and the subtraction
process is continued until the quotient is completed to the
radical point. Any remainder after the last subtraction is
treated in the same manner as in ordinary long division. In
the example shown above, the quotient is 1,101 with a remainder
of 111 -s- 1010; this corresponds to the decimal number 13^0-
In the above example, it should be noted that no multiplication
process was mentioned. This is apparent from the realization
that the greatest number of allowable times the divisor goes
into the dividend for any partial quotient is one, since this is the
highest single-order digit in the binary system. Therefore, the
product of the nonzero digit last added to the quotient and the
divisor is the same as the divisor alone. This is not true, how-
ever, for other radix systems. For example, use is made of the
octal multiplication table, displayed above, in the performance
of the same division in the octal system as follows:
15
12)211
12_
71
62
7
The quotient, as before, has a decimal equivalent of 13%o-
6-6. A Note Concerning Binary -to -octal Conversion
It is true according to Theorem 6-1 that exactly eight numbers
can be represented with three binary digits. From this it follows
84 THE BASIC ELEMENTS OF MACHINE COMPUTATION
that triplets of binary digits may be used as marks to represent
octal digits, and that conversion from binary to octal notation
simply implies changing the notation used for the marks. Spe-
cifically, the notation change is as shown in Table 6-8. The
Table
6-8
Binary Triplet
Octal Mark
000
0
001
1
010
2
011
3
100
4
101
5
110
6
111
7
change is made triplet by triplet, beginning at the right. For
example, the binary number 10,001,001 is the octal number 211;
the binary 101,100,110 is octal 546, etc.
The binary system has obvious engineering advantages in
computer design. The expression of a number in binary notation
requires a comparatively large number of digits, however. For
example, a number with six decimal digits may require 20 binary
digits; the same number, in octal notation, may need only seven.
The number of octal digits is thus only slightly greater than
the number of decimal digits, the conversion from binary repre-
sentation is trivially easy, and an inexperienced reader can get
good qualitative estimates of the results without worrying about
the octal character of the representation. It can be seen, there-
fore, that the octal system has certain features which make it
very attractive.
6-7. Economy Attained by Radix Choice
The economy to be gained by choice of radix can be estimated
as follows: From Theorem 6-1, it is known that the number of
numbers expressible with n digits radix r is rn. It was noted in
Chap. 3 that, using two-state tubes or relays, and for small
values of r, each digit radix r requires r triodes or relays (but
for larger values of r each digit requires up to 2r triodes or relays).
Assuming that the complexity is measured according to the
number of tubes, it is possible to determine the theoretical
optimum value for the radix of the arithmetic system.
ARITHMETIC SYSTEMS 85
Let N = rn represent a fair estimate of the number of tubes
required in the system and M = rn be the largest number of
numbers expressible in the system, where r designates the radix
and n designates the number of digits. The value of N should
be a minimum, subject to M being fixed in value. Then
M = rn (6-4)
log0 M = n loga r = Mf (6-5)
M'
IL — ,
loga r
Substituting the value of n in the expression for N,
(6-6)
N
loga
r
r
g« r
= log.
r - loga
e
dN
= M^
loga r —
loga e)
dr
(loga
r)2
M'
^ 0
(loga r)
2 ^ U
loga r
- loga (
3 = 0
(6-7)
(6-8)
= 0 . (6-9)
(6-10)
Since
then
If
and
r = e = 2.71828 • • • (6-11)
This is the only possible value for a minimum, and therefore N
must be a monotonic function of r for r > e, and a monotonic
function for r < e.
Table 6-9
r N
2 39 . 20
3 38 . 24
4 39 . 20
5 42 . 90
10 60.00
Now, consider some values, with M fixed at a value 106, as
shown in Table 6-9. Note that N increases with the values of r
above 3. This increase must continue, for r has no further
critical values. Under these assumptions, the radix 3, on the
average, is the most economical choice, closely followed by radices
86 THE BASIC ELEMENTS OF MACHINE COMPUTATION
Table 6-10
Radix
10
Number Representation
1
1
1
1
1
1
2
2
2
2
2
10
3
3
3
3
10
11
4
4
4
10
11
100
5
5
10
11
12
101
6
6
11
12
20
110
7
7
12
13
21
111
8
10
13
20
22
1,000
9
11
14
21
100
1,001
10
12
20
22
101
1,010
11
13
21
23
102
1,011
12
14
22
30
110
1,100
13
15
23
31
111
1,101
14
16
24
32
112
1,110
15
17
30
33
120
1,111
16
20
31
100
121
10,000
17
21
32
101
122
10,001
18
22
33
102
200
10,010
19
23
34
103
201
10,011
20
24
40
110
202
10,100
21
25
41
111
210
10,101
22
26
42
112
211
10,110
23
27
43
113
212
10,111
24
30
44
120
220
11,000
25
31
100
121
221
11,001
30
36
110
132
1,010
11,110
35
43
120
203
1,022
100,011
40
50
130
220
1,111
101,000
45
55
140
231
1,200
101,101
50
62
200
302
1,212
110,010
100
144
400
1,210
10,201
1,100,100
1,000
1,750
13,000
33,220
1,101,001
1,111,101,000
10,000
23,420
310,000
2,130,100
111,201,101
10,011,100,010,000
2 and 4. These assumptions are, of course, only approximately
valid, and the choice of 2 as a radix is frequently justified on
more complete analysis. It should be noted that, even with the
optimistic assumption that 10 triodes will yield a reliable decimal
ring, radix 10 leads to about one and one-half times the com-
ARITHMETIC SYSTEMS 87
plexity of radix 2, 3, or 4. This is probably significant despite
the shallow nature of the argument used here.
For reference, corresponding representations of the same
numbers for radices 2, 3, 4, 5, 8, and 10 are tabulated in Table
6-10.
6-8. Negatives and Complements
A desk calculator, in performing subtraction, uses a reversing
gear and runs the wheels backward. If the subtraction goes far
enough to generate a negative number, a difficulty is encountered.
The difficulty, although easily resolved, arises because the
indicated numbers continue to decrease, while in standard nota-
tion they would suddenly be preceded by a minus sign and begin
to increase. The solution lies in noting that the machine has a
limited capacity. If the machine has 10-decimal-digit capacity
in a register, it can hold numbers as high as 1010 — 1, but it
cannot hold 1010. The machine is unable to distinguish between
two numbers which differ by any integral multiple of 1010; in
terms of the number theorist, it performs arithmetic modulo 1010.
Any number is represented on this machine by the number plus
or minus an integral multiple of 1010 chosen in such a way as to
bring the indicated number to a value between the limits 0
and 1010 — 1, inclusive. In particular, the number negative 137
would be represented by -137 + 1010 = 9,999,999,863. Once
this condition is recognized, there is no difficulty if the coefficient
of the additive 1010 is kept in mind; for almost all calculations
it is 0 or 1.
For many of the more rapid machines using other types of
EPDCC's as computing elements, this system of representation
of negative numbers and this system of subtraction are not satis-
factory in general, since most of the faster EPDCC's cannot be
made to run backward conveniently. Because such components
will run in only one direction, the process of subtraction must be
carried out in the manner defined in many algebra texts: change
the sign and add. Furthermore, the question of changing the
sign and adding cannot be treated too lightly, for if numbers are
represented by their absolute values preceded by a plus or a
minus sign, the result of adding a pair of Ts in the right-hand
place depends on the signs of the numbers. Furthermore, if
the radix is anything but 2, a binary mark must be used to denote
88 THE BASIC ELEMENTS OF MACHINE COMPUTATION
the sign while all other marks are different from this. This
situation may lead to unnecessary complexity in the machine.
The number 9,999,999,863 written above is called the com-
plement of the number 137 with respect to 1010. All the digits
to the left of its last nonzero digit are obtained by subtracting
the corresponding digits of the original number from 9 (with
zero written in front as many times as is necessary). The last
nonzero digit is obtained by subtracting the last nonzero digit
of the original number from 10, and if there are any zeros to the
right of this point in the original number, they are replaced by
zeros in the complement. Thus the complement of 5,280 is
9,999,994,720. The 9's complement of a decimal number is the
number obtained by replacing each digit of the original number
by 9 minus that digit To perform subtraction, a fast machine
could form these complements and add, but this process is still
inconvenient. Such a method demands that certain digits be
treated in a special manner, and the positions of the specially
treated digits vary from one number to another.
The solution of treating all digits alike is so attractive that
it has been tried arbitrarily, and it is used in most machines now
being considered. The 9's complement of a positive number is
used in this system to represent the negative number with the
same absolute value. One disadvantage is immediately appar-
ent: the 10-digit numbers 0,000,000,000 and 9,999,999,999 repre-
sent the same number. This disadvantage is immediately offset
by the fact that the devices in which these complements are to
be used may add or they may subtract, but they cannot do both.
The number 0,000,000,000 turns out never to be generated in a
machine which always adds, and the number 9,999,999,999 is
never generated in a machine which always subtracts.
With 9's complements, numbers of 10 decimal digits are
expressed modulo 10 10 — 1 rather than modulo 10 10 as above;
i.e., numbers are stated with an implicit understanding that an
integral multiple of 10 10 — 1 (with coefficient invariably 0 or 1
in common practice) has been added to the number originally
to be represented. When two such numbers are added and their
sum exceeds 10 10 — 1, the machine must automatically reduce
them by this amount. To do this, it must detect the fact that
the number is excessive and then correct. The following state-
ments govern completely:
ARITHMETIC SYSTEMS 89
1. The sum of two 10-digit decimal numbers exceeds 1010 — 1
if and only if there is a carry beyond the 10th place.
2. If there is a carry from the tenth place, the sum modulo
1010 — 1 may be represented with 10 decimal digits by
adding this carry to the extreme right-hand digit. This
is the so-called end-around carry.
The first statement is obvious and requires no comment. The
second is an automatic scheme for subtracting 10 10 from the sum,
by not writing the carry in the 11th decimal position, and then
adding 1 to the sum, by carrying to the first decimal place. The
net result of this operation is to subtract 10 10 — 1; this is allow-
able in the arithmetic modulo 10 10 — 1.
Completely analogous rules hold for arithmetic with n digits
radix r. They will be stated in a theorem the proof of which is
omitted.
Theorem 6-4. If x is a positive number expressed with n digits
radix r, i.e., 0 < x < rn — 1, then —x may be expressed modulo
rn — 1 by replacing each of the n digits of x by r — 1 minus this
digit; to add, modulo rn — 1, two numbers expressed with n digits
radix r, proceed according to the rules of arithmetic radix r except
that the carry from the nth digit, if it occurs, is to be added to the
first digit (end-around carry).
A particular example illustrates the principle. Two five-digit
binary numbers will be added: 10,110 + 01,101. With ordinary
binary arithmetic without end-around carry, the answer is
100,011. To reduce to modulo 25 — 1, the sixth digit is deleted
and added to the first with additional carries resulting to give
00,100.
In binary arithmetic of n digits it is usually assumed that
numbers with the nth digit 1 are negative. Under this assump-
tion the above addition becomes 1,101 — 1,001 = 100.
6-9. Scale Factors and Radical Points
The foregoing description of the arithmetic of integers in
terms of radix r digits can be enlarged to include fractional and
other numbers occurring in analysis. The basis of the enlarge-
ment is classical, and only the most immediately applicable
results will be given here. A complete description can be found
in Ritt.6
90 THE BASIC ELEMENTS OF MACHINE COMPUTATION
Many of the numbers which are dealt with in scientific com-
putation are derived from measurements of physical quantities.
If such a quantity is to be represented in a register of n digits,
it must be expressed in terms of a number of not more than n
digits, whether or not it has been measured precisely enough
to warrant expression in terms of a greater number. For
example, to express w in a five-digit radix 10 register, we write
3.1416. This expresses the fact that -k lies between 3.14155 and
3.14165, which is entirely correct. 3.1416 is an arbitrarily pre-
cise expression for a number the magnitude of which is known
more precisely than can be expressed in five decimal digits.
Furthermore, it is the use of the decimal point which permits
this convenient representation of the number in five digits.
3.1416 is a fraction. In terms of integers it is 31, 416/104. The
same scheme may be used with any other radix. If a radical
point is placed to the left of the /cth digit (from the right) of a
number expressed in radix r notation, the number is to be read
as the integer, as if there had been no radical point, divided by
rk. Thus
07 _1_ 05 _!_ 03 _1_ 02 _|_ 1
Binary 101.01101 = decimal — — L
= decimal 17%2
= decimal 5.406
Note that the numerator and the implied denominator must
both be translated if the radix is changed and that the rule in
Theorem 6-3 cannot be carelessly applied to this case of frac-
tional representation. It is not difficult, however, to devise
a multiplication rule similar to the division rule of Theorem 6-3 to
handle that portion of the number to the right of the radical
point.
For machines with the radical point in a fixed position, and
these machines are the simplest to build, the use of scale factors is
necessary to obtain the most efficient utilization of the limited
number of numbers representable by the machine. For this,
the units in which the numbers appear are measured and rechosen
in such a way that the largest number of any kind which will
appear in the machine is just slightly smaller than the largest
number the machine will hold. This is an operation analogous
to measuring in inches rather than feet.
ARITHMETIC SYSTEMS 91
Some workers feel that there is a best place for the radical
point. In particular, many, including Burks, Goldstine, and
von Neumann,2 feel that this best place is one binary digit to
the right of the left-hand end of a binary number. It should be
noted that the first left-hand digit does not represent a numerical
value but merely serves to indicate whether the number is posi-
tive or negative. This placement used with l's complements
gives numbers ranging from —1 to +1, and the product of two
such numbers lies in the same range. This feature, which does
not demand a scale change when the products are formed, is
one of the principal advantages of this system.
Other workers have arbitrarily placed the radical point at the
right-hand end of the number; i.e., they have built their machines
to deal with integers. Thus the basic operations are programmed
on the machine in terms of shifting operations. One such machine
has been described by Engineering Research Associates, Inc.
A third possible scheme is one in which the position of the
radical point is not designated in advance but is placed by the
machine in performing each operation. This leads to engineer-
ing complexities, but it serves to reduce the burden of converting
all numbers involved into a scale best suited for the machine.
The Mark II Calculator built at the Computation Laboratory
at Harvard University for the Naval Proving Ground at Dahl-
gren, Va., is an example of such a machine.
6-10. Binary Division — A Special Case
Binary division offers simplifications which have been noted
by Burks, Goldstine, and von Neumann.2 These authors sug-
gest that the division process for binary numbers be modified to
proceed according to the following steps in a system of commands:
1. Enter the dividend and the divisor so that like order digits
are in the same columns.
2. Shift the divisor to place its first left-hand nonzero digit
in the same column as that of the dividend; add as many
0's at the right-hand end of the divisor as necessary to
make it equal in order to the dividend.
3. Subtract the divisor from the dividend and register a 1
in the first-order-digit position of the partial quotient
register. To establish its proper position, shift this 1 a
92 THE BASIC ELEMENTS OF MACHINE COMPUTATION
number of digit places, to the right or to the left, cor-
responding to the number of places and direction by which
the divisor was shifted in step 2.
4. For the next arithmetic operation, shift the divisor one
place to the right.
5. If the remainder (difference) after step 3 is positive, sub-
tract the shifted divisor from this remainder and add 1 to
the partial quotient in the next position to the right of the
previous 1; if the remainder is negative, add the shifted
divisor to it and subtract 1 from the partial quotient in the
new position.
6. Shift the divisor and proceed as in step 4 using the new
remainder and modifying the quotient by 1 in the next
position.
7. Continue until the process of division is completed, at this
time adding the finally shifted divisor one additional time
in carrying out a corresponding subtraction from the quo-
tient, if necessary, to get a positive remainder.
As an example, a division which occurs as the first step in
translating binary 10,001,001 to a decimal number will be per-
formed, keeping all arithmetic in the binary system and using
Theorem 6-3. It should be noted that where a negative differ-
ence is obtained in Table 6-11, it is represented by its l's com-
plement plus 1.
Since the last sum in Table 6-11 is positive, the division is
complete. The quotient is 1,101 (decimal 13), and the remainder
is 111 (decimal 7); these numbers agree with those found earlier.
The justification of this method, mathematically, lies in the
trivial proof that the dividend is the sum of remainder and the
product of the quotient with the divisor. In terms of machine
operation the justification lies in the ease of programming and
in the computing speed. The example is included as an appli-
cable division scheme for binary digital computers.
The applicability of this scheme is enhanced by noting that a
simple rule may be formulated for carrying out the division
without borrows in the quotient. Consider that the quotient
is formed from two numbers x and y such that the quotient z is
x — y and such that x + y, in binary notation, is a series of l's.
That is, the quotient
with
ARITHMETIC SYSTEMS
z = x — y
x + y = 2n - 1
for some n. It follows from the second expression that
z = 2x - 2n + 1
In the above example,
z = 1,101]
x = 10,110>
93
(6-12)
(6-13)
(6-14)
(6-15)
y
1,001
where x is formed with l's in the places where the divisor was
added, and y is formed with l's in the places where the divisor
Table 6-11
Step
(Add next
Operations
step if
minus;
subtract
if plus)
Partial quotient
(a)
Dividend (decimal 137)
10001001
Divisor (decimal 10)
1010
Difference
-010111
-
10000
(b)
/
Divisor (shifted)
1010
r
Algebraic Sum
111001 '
+
10000 - 1000 = 1000
(c)
/
Divisor (shifted)
1010 y
*
Difference
10001 /
+
1000 + 100 = 1100
(d)
y
Divisor (shifted)
1010 >
*
Difference
-11X
—
1100 + 10 = 1110
(e)
y
Divisor (shifted)
1010 j
r
Algebraic Sum
111'
+
1110 - 1 = 1101
was subtracted. The operation defined in Eq. (6-14) is brought
about by shifting all digits one place to the left, adding a 0 at
the end (multiplication by 2), deleting the initial 1 (subtraction
of 2n), and then replacing the final 0 by a 1 (addition of 1).
94 THE BASIC ELEMENTS OF MACHINE COMPUTATION
Thus, in the example, step by step,
x = 10,110 -> 101,100 -» 01,100 -> 01,101 -> 1,101 = z
The negative part of the quotient need never enter the calculation.
6-11. Alternate Arrangements — Linear Mappings
The system of complements described in Sec. 6-8 above is
an efficient and convenient method for handling numbers which
occur in calculations where the range of numbers extends approxi-
mately equally on both sides of zero. The advantages are
twofold:
1. Registers with n radix r positions can be utilized fully
without use of additional sign symbols.
2. The arithmetic steps are carried out digit by digit as they
are in long division, long multiplication, addition, and
subtraction with ordinary numbers; the behavior of each
digit is independent both of the value of other digits and the
sign of the numbers.
In the addition process, the system of arithmetic modulo rn — 1
has the advantage that complements are easily formed and
arithmetic can proceed with either an addition or a subtraction
process. The first of the two properties of the complement
system displayed above can be shown to be shared by linear
mappings, and except for some permutations of digits which do
not essentially change the results, these are the only mappings
which have the advantage of permitting digit-by-digit calcula-
tion. The linear mapping is defined as follows:
Definition: Let the number x, 0 < x < rn — 1, be an integer
representing the ordinal number of any of rn states assumed by an
n-digit radix r register and let a(^ 0) and b be two constants.
Then, under a linear mapping, the coefficients a and b and the
state x represent the number y with
y = ax + b (6-16)
Under this definition it can be shown easily that multiplication of
two numbers y± and y2 can be brought about by operating, digit
by digit, on the numbers Xi and x2 which represent them. Indeed,
if
2/i = aXl + b (6-17)
ARITHMETIC SYSTEMS 95
and
?/2 = ax2 + b
(6-18)
and if
ViVi = y* = ax3 + b
(6-19)
then
b2 -
xz = axix2 + b(xi + x*) +
- b
(6-20)
With a and b constant, this expression can be built up under
fixed rule, digit by digit, just as the product in ordinary arith-
metic is built up. Similarly, the operations of addition, subtrac-
tion, and division may be carried out on a digit-by-digit basis.
Now, if the y values range between a and (3 so that a < y < /3,
then it is possible to position the numbers a and b in such a way
that a corresponds to the value x --= 0 and 0 corresponds to the
value rn — 1. This possibility permits the use of the linear
mapping system to give the registers the greatest possible effi-
ciency. To obtain this result, it is only necessary to write
b = a
0 - a (6-21)
a
rn — 1
Some simple examples of linear mappings are listed here. In
the variant of binary arithmetic described in Sec. 6-10, the
representation of the quotient z by the positive part of the
quotient x was defined in Eq. (6-14) ; examination of this equation
shows that it is a linear mapping with a = 2 and b = — 2n + 1.
A linear mapping with piecewise constant coefficients can be
used to define systems of complements to give arithmetic modulo
rn and modulo rn — 1; in either case, for y nonnegative, the
coefficients are a = 1 and b = 0; in the first case, for y negative,
the coefficients are a = + 1 and b = — rn, and in the second case
the coefficients are a = +1 and b = 1 — rn.
In general, the full utilization of the range of y numbers
appearing will not be the only consideration in choice of a and b.
Among other factors which should be considered are ease of
subtraction, elimination of round-off bias, and decrease of
number of trial subtractions in division.
6-12. Note on Round-off Error
In this chapter the elements of the arithmetic theory useful
in applying EPDCC's to computing problems have been out-
96 THE BASIC ELEMENTS OF MACHINE COMPUTATION
lined. The chapter has shown how by proper choice of radix
an EPDCC with any number of stable states can be applied to a
computing problem.
It must be remembered, however, that many other details must
be taken into account. Not only are engineering details involved
in connecting the components to carry out the calculation of
crucial importance, but also other mathematical details must be
considered. In particular, the extremely fast calculating speed
of these machines introduces a new possibility of round-off
accumulating. Although the machines function in the same
way that a desk machine functions, it is no longer feasible to
overcome the round-off error by sheer length of numbers. The
way in which these errors accumulate might be justifiably
included in this chapter; however, the application of methods for
estimating the accumulation of round-off errors to problems of
numerical calculation is involved, and its exposition is likely to
be long and understood only by computers willing to devote
considerable time to the study. A detailed treatment of round-off
error is given by Burks, Goldstine, and von Neumann2 and by
von Neumann and Goldstine.5
6-13. Appendix
6-13-1. Proof of Theorem 6-1. The number of different
numbers which can be represented by configurations with marks
differing from 0 in at most the first k positions is the product
Pk = nin2n3 • • • nk (6-1)
Proof: It is a classical proposition that Pk different configura-
tions can be made with the k marks in order, and it is obvious
from the definition of counting (meaning exactly that it can be
proved by mathematical induction) that no two of these con-
figurations represent the same number. This completes the
proof.
6-13-2. Proof of Theorem 6-2. In the representation of a
number x, if pi represents the number of marks admissible which
precede the mark actually occurring in the first position, if pi is
the number of marks admissible for the second position which
precede the mark in that position, etc., with pi the number of admis-
sible marks for the ith position preceeding the ith mark, then,
ARITHMETIC SYSTEMS 97
conforming with the notation for P of Eq. (6-1),
x = pi + V2P1 + P3P2 + • ' ' + ViPi-i (6-2)
Proof: The proof of this theorem will be by mathematical
induction. It will be shown that the set of values of x for which
the statement is true includes the number zero and that if this
set includes all nonnegative numbers less than a number N, it
also includes N. All such sets clearly (or axiomatically) include
all the nonnegative integers, and it will follow that the theorem
is true — that the statement is true for every value of x.
First, it is clear that if x = 0, the statement is true, for then
by definition all the numbers pt- are zero, and the right member
of Eq. (6-2) is zero and therefore equal to x. Now, suppose that
when x is equal to some particular number N, Eq. (6-2) holds.
Then if the representation of the number N + 1 is written, one
or more of the numbers jpi determined by this new number differ
from the corresponding numbers in the representation of N.
According to the counting rule, if pk is the last one which differs,
then it is greater by 1 in the representation of N + 1 than it
was in the representation of N; furthermore, since all pi with
i < k must have been maximal in the representation of N and
since they have all been replaced by zero, each such p, in the
representation of JV + 1 is n,- — 1 less than it was in the repre-
sentation of N. Now, it was assumed that Eq. (6-2) was valid
when x was N. When x is replaced by N + 1, it is clear that the
left member is increased by 1, and it has just been remarked that
the right member is increased by the quantity
Qk = Pk-i - (nw - l)P*-2 -.■••- (n, - 1) (6-22)
The theorem will have been established if it can be shown that Qk
is always 1 no matter what value k takes. [For example, for
decimal numbers it is true that
Qk = io*-i - 9(10fc-2 + 10fc-3 + • • • + 1) (6-23)
and this expression is readily seen to be exactly 1 no matter what
value k may have by the theorem giving the sum of terms in a
geometric series.] The fact that Qk is always 1 can be established
rigorously by mathematical induction or more intuitively by
noting that Pk-\ is equal to nk-\Pk-2 by definition and that the
various terms of the right member of Eq. (6-22) annihilate one
98 THE BASIC ELEMENTS OF MACHINE COMPUTATION
another in succession until only the final number 1 is left. This
completes the proof of Theorem 6-2.
6-13-3. Proof of Theorem 6-3. If x is a nonnegative integer
and if ?u, pi, and Pi all have the significance defined above for some
system of notation in which x is expressed, then p\ is the remainder
when x is divided by n\, p2 is the remainder when this integral
quotient (without remainder) is divided by n2, etc. : explicitly, there
exists a set of nonnegative integers q0, qh q2, . . . , qi such that
qQ = x = ftitfi + Pi', 0 = pini
qi = n2q2 + P2) 0 = p2n2
(6-3)
q{ = n1+1q<+1 + pi+1; 0 = pi+ini+i
These equations uniquely determine pi.
Proof: It is clear that Eqs. (6-3) define the p's, for these equa-
tions are only a formal method of stating that, say, qi is the
quotient and pi the remainder when qi_i is divided by n». With
this in mind, the following inductive proof will make use of an
expression which will be shown for every value of i to define qi
equivalent to the definition in Eq. (6-3) subject to the original
restriction q0 = x:
q% = Vi+i + Pi+2ni+i + pi+3ni+2ni+i + pi+4ni+3ni+2ni+1 + • • • ,
i = 0, 1, • • • (6-24)
To establish this for i = 0, all that is required is to replace i by
0 throughout and to compare the result with Eq. (6-2), which has
already been established; if the P's in Eq. (6-2) are written in
terms of the n's, the two will be identical. Next seek to deter-
mine whether the set of values of i, for which Eq. (6-24) gives
the same value of qi as Eqs. (6-3), does possess the property that
the set contains the next higher integer to any integer it contains.
Suppose that for i = k, the result from Eq. (6-24) is the same as
that from Eqs. (6-3). Then, for this value of k,
qk = Pk+i + Pk+zrik+i + pk+znk+2nk+i + • • ■ (6-25)
Rewritten, this states
qk = nk+1(pk+2 + pk+3nk+2 +•••) + Pk+i (6-26)
ARITHMETIC SYSTEMS 99
Now, according to Eqs. (6-3) with i = k, this should be
qk = nk+1qk+1 + pk+i (6-27)
and the expression in the parentheses, which therefore must be
qk+i, is indeed the value that Eq. (6-24) gives for qk+i by setting
i = k + 1. Thus, whenever Eq. (6-24) gives the right answer
for any value of i (as it does for i = 0), it also gives the right
value for the next higher value, and the statement of the theorem
is true for these values. This completes a proof by mathe-
matical induction, for the set of values of i for which the state-
ment of the theorem is true must contain all positive integers
if it is to fulfill these requirements.
REFERENCES
1. Alt, Franz, A Bell Telephone Laboratories' Computing Machine, Mathe-
matical Tables and Other Aids to Computation, Vol. Ill, pp. 1-13, 69-84
(1948).
2. Burks, A. W., H. H. Goldstine, and John von Neumann, Preliminary
Discussion of the Logical Design of an Electronic Computing Instrument,
Part I, 2d ed. (Institute for Advanced Study, Princeton, N.J., 1947),
pp. 23-29.
3. Carmichael, Robert D., The Theory of Numbers, (John Wiley & Sons, Inc.,
New York, 1914), pp. 22-24.
4. Morley, S. G., An Introduction to the Study of the Mayan Hieroglyphs,
Bulletin 57, Bureau of American Ethnology (The Smithsonian Institution,
Washington, D.C., 1915).
5. von Neumann, John, and H. H. Goldstine, Numerical Inverting of
Matrices of High Order, Bulletin of the American Mathematical Society,
Vol. 53, pp. 1021-1099 (1947).
6. Ritt, J. F., Theory of Functions (King's Crown Press, New York, 1947),
pp. 1-10.
7. Spinden, H. J., Ancient Civilizations of Mexico and Central America,
Handbook Series No. 3, 3d ed. (American Museum of Natural History,
New York, 1928), pp. 118-121.
CHAPTER 7
NUMERICAL ANALYSIS
7-1. Introduction
In this chapter attention will be given to the numerical methods
for solving certain of the principal types of equations dealing
with algebraic, differential, and integral elements. As stated
in the introductory chapter, these methods are regarded as
components in the art of computation to the same degree as the
physical equipment described in Chaps. 3, 4, 13, and 17. The
material dealing with methods of computation for algebraic
and differential equations is so extensive that the scope of this
chapter will be limited to a brief outline and to the discussion of a
few methods which are applicable to the principal types of equa-
tions to which a digital computing machine is expected to be
applied. For the sake of simplicity, this chapter is organized to
treat first with the process of interpolation and interpolation
formulas since this procedure forms the basis of many numerical
methods. There will then follow brief outlines of methods for
numerical differentiation and integration which depend largely
upon these interpolation formulas. The numerical solution of
algebraic and transcendental equations will next be taken up.
Finally a discussion will be given concerning the procedures for
numerical solution of total differential equations.
The material for this chapter has been drawn largely from such
standard texts as Ford,7 von Karman and Biot,12 Margenau and
Murphy,15 Scarborough,19 and Whittaker and Robinson,20 and
from such special reports as Bennett, Milne, and Bateman3
and Bargmann, Montgomery, and von Neumann.2
7-2. The Process of Interpolation
The process of interpolation consists essentially in representing
a function in a particular form by making use of values which this
function assumes for certain given values of the argument, or the
independent variable. For example, let y = f(x) take on values
100
NUMERICAL ANALYSIS 101
2/o, yi, 2/2, • • • , Vn for respective values of the argument x0, Xi,
Xtj ... , xn. Now let 4>{x) represent some arbitrary and,
perhaps, simpler function such that it takes on the values of f(x)
for the same values of the argument x0, xi, x2, . . . , xn. If
f{x) is now replaced by cf>(x) over the interval of the independent
variable, then this procedure is known as interpolation, and the
function 4>{x) is called the formula of interpolation. The mathe-
matical basis for this procedure stems from two powerful theorems
by Weierstrass. These theorems may be stated as follows:
1. Every function continuous in the interval (a,b) may be
represented in that interval, to any degree of accuracy, by a
polynomial P(x) such that the absolute value of the differ-
ence between the function and this polynomial may be made
smaller than any previously assigned positive quantity e.
2. Every continuous function periodic in 2ir may be repre-
sented by a finite trigonometric series
F(x) = a0 + ai sin x + a2 sin 2x + • • • + an sin nx
+ 6i cos x + b2 cos 2x + * * * + bn cos nx
where the absolute value of the difference of the function
and this trigonometric series may be made smaller than any
previously assigned positive quantity 8.
Let us consider a function y = f(x) for which 10 values of the
function are known for 10 values of the independent variable.
It will now be instructive to form what is known as a difference
table for these values of the function and the independent variable.
We arrange the values of the independent variable and of the
function in the first two columns, respectively, and proceed to
take differences between these values of the function, where
As/o = 2/i - 2/o, A?/i = 2/2 - 2/i, ... , Ayn = yn+1 - yn; these
are denoted as first differences and appear in the third column.
Second, third, fourth, and higher differences up to ninth differ-
ences may be obtained in the same manner and give rise to the
elements appearing in the diagonal difference table (Table 7-1).
Such an arrangement is important because it may be shown
(1) that if the values of the independent variable are taken in
arithmetic progression, the nth differences of a polynomial of the
nth degree are constant, and (2) that if the nth differences of a
function are constant for an arithmetic progression of the
102 THE BASIC ELEMENTS OF MACHINE COMPUTATION
argument of the independent variable, this function is a poly-
nomial of degree n. The latter means, essentially, that if an
unknown function y = f(x) is tabulated in a difference table
and if the fourth differences, for example, are found to be con-
stant, then such a function may be approximated by a fourth-
degree polynomial <$>(x) within the region of the limits of data
given for the independent variable.
Table 7-1
X
y
Ay
A22/
A3?/
A42/
A5!/
A62/
A7z/
Asy
A9!/
X0
2/o
A2/o
Xx
2/i
As/i
A22/o
A32/o
x2
2/2
A2/2
A22/i
A3?/i
A42/o
A52/o
x3
yz
A?/3
Ahj2
A32/2
A42/i
A5Z/i
A62/o
A72/o
Xi
y*
A2/4
A2Z/3
A32/s
A42/2
A«yi
A62/i
A7^!
A82/o
A92/o
x5
y&
A2/5
A2l/4
A32/4
A4?,' 3
A5l/3
A62/2
A72/2
A8?/i
Xe
2/6
Aj/e
A2l/5
A3?/5
A42/4
A52/4
A62/3
x7
2/7
A2/7
A22/e
A3?/6
A42/5
Xs
2/8
Ay8
A22/7
Xq
2/9
where
and
At/o =2/i-2/o
A?/i =2/2-2/1
At/2 =2/3-2/2
A?/n = i/n+1 - 2/*,
A22/o = Ay/i - At/o = 2/2 - 2j/i + 2/o
A22/i = A2/2 - A2/1 = 2/3 - 22/2 + 2/1
A22/n = A?/n+1 - A2/ra = ijn+2 - 2yn+1 + J/n
The application of machines for tabulating differences of a
function has recently been described by Laderman and Abramo-
witz.13 The Underwood-Elliott Fisher Sundstrand Accounting
Machine, Model D, has been found exceptionally efficient for
the construction of difference tables and for computing and
NUMERICAL ANALYSIS 103
printing the values of a function when initial differences and
values of the function are given.
7-2-1. Newton's Interpolation Formula. It will be instructive
here to show how a polynomial of degree n may be made to
approximate a given function f(x) in the interval defined by the
argument. There are a number of interpolation formulas which
may be used to define a function <f>(x) as an approximation to a
given function /(x). Since the derivation of all these formulas
is substantially similar, however, Newton's formula for forward
interpolation will be used here as an example. Several remarks
will be made concerning the application of this formula and
several other related formulas of interpolation.
Let the function y = f(x) take on values y0, y1} y2) . . . , yn
for respective values of the independent variable x0, Xi, x2, . . . ,
xn. We are now interested in finding that polynomial <f>(x) which
is required to represent f(x) in the interval determined by the
range of the independent variable, whose successive values are
taken as equidistant. The polynomial <f>(x) of the nth degree
may be written as follows:
<j>(x) = do + di(x — xo) + a2(x — x0)(x — x\)
+ as(x — xo)(x — Xi)(x — x2)
+ a4(x — xo)(x — xi)(x — x2)(x — xs)
+ • • • + an(x - x0)(x — xi)(x — x2) ' • • (x — xn-i) (7-1)
In order to make <^(x0) = y0, 4>(xi) = yh . . . , <f>(xn) = yn, it is
necessary to determine the coefficients a0, ai, a2, . . . , an.
This may be done by substituting the successive values x0, xh
x2, . . . , xn into the relation for <f>(x) above, with the added
requirement that the value of the arithmetic progression in the
independent variable be taken as h such that x\ — x0 = h,
x2 — Xo = 2h, . . . , xn — Xo = nh. With these substitutions
the polynomial 4>{x), known as Newton's formula for forward
interpolation, may be derived; this is written as follows:
4>i(x) =
■yo + x (x
- x0) -f
2/i2 {X
— x0)(x
- Xi)
X0)(X —
xi)(x —
x2)
Xo)(x —
xi)(x -
x2)(x —
Xz) +
+ ^(x-
Xo)(x —
xi)(x -
x2) • •
. (*-
Xn-0 (7-2)
104 THE BASIC ELEMENTS OF MACHINE COMPUTATION
This may be simplified by a change of variable such that
x — Xo
; = U
From this relation it follows that (x — Xi)/h = u — 1, etc.; the
generating relationship19 is then seen to be
= u — n + 1
h
Newton's formula for forward interpolation with this change of
variable takes the form
<h(x) = 2/o + u Ay0 + -A_ — I A2?/o + 3! A3 y0
u(u - l)(u - 2){u - 3)
+ 4j A42/0
+ ■ - • + <u-l){u-2)^ ■ (u-n + 1) ^ (7_3)
The forward-interpolation formula of Newton is so named because
this formula treats values of the tabulated function starting
with y0 and proceeding forward to yn; it does not allow inter-
polation below or to the left of y0. For this purpose there exists
another form of this formula known as Newton's formula for
backward interpolation:
J. ( \ I A I U(U + 1) A
4>ii(:r) = yn + u Ai?/n H ^ A22/«
+ u(« + IKu + 2) Azyn + u(« + 1)(, + 2)(, + 3) Atyn
+ ■■■ +u(u+l)(u + 2)y(u + n-l)Kyn (7_4)
where Ai2/n = yn — yn-\
A2?/n = yn- 2yn-i + 2/«-2
7-2-2. Stirling's Interpolation Formula. In the previous
section, Newton's formula for forward interpolation 4>i(x) was
related to the array of differences in the diagonal difference table
(Table 7-1). It was seen there that this interpolation formula
was applicable only to determining the difference of values of
the function y = f{x) for a forward progression y0, yh y2} ... , yn.
Similarly the Newton formula for backward interpolation allows
NUMERICAL ANALYSIS
105
differences to be determined for the progression yn, yn-i, yn-2t
. . . , 2/1. These formulas are fundamental to the interpolation
process; in fact, other interpolation formulas for functions with
equidistant increments of the argument may be derived directly
from Newton's formulas by simple algebraic transformations.
The only probable disadvantage in the use of Newton's formulas
is that they quite often do not converge rapidly enough for certain
practical applications. Because they obviate this difficulty,
interpolation formulas due to Stirling and to Bessel, based on a
slight variation of the original tabulation of differences, are
important; these may be applied in cases where Newton's
formulas do not provide rapid enough convergence.
Let us return to a function y = fix) with 10 values of the
function given for 10 values of the argument. We now arrange
these values of the function in a table where the designation of
the 2/0 position lies at or near the middle of the first column.
This is known as a central-difference table (Table 7-2).
Table 7-2
X
V
Ay
A*y
A3y
A4?/
A5y
A6y
A7|/
A82/
A9?/
Z_4
X-3
V-4
y-z
y-2
y-i
Ai/-4
Ays
&y-2
A22/_4
A27/-3
A2?/-2
A32/_4
A3t/_3
A4?/_4
A4?/-3
A52/-4
A6?/-4
X0
yo
A?/o
A2?/-!
A32/-2
A3?/_i
A42/_2
A62/_3
A5y_2
A6Z/_3
AV4
A7JM
A8?/_4
A9?/-4
Xi
x2
xz
Xi
xh
y\
2/2
y*
y*
y&
&yi
A2/2
&V4
A*y0
AhJx
A2?/2
A2T/3
A32/o
A3|/i
A3y2
A42/_i
AV
AVi
A5t/_i
Ahjo
A6y_2
A6r/-i
A72/-2
A8?/-3
In this table only the differences lying across the table immedi-
ately above and below 2/0 (marked by broken lines) are used in
106 THE BASIC ELEMENTS OF MACHINE COMPUTATION
the interpolation formulas of both Stirling and Bessel. Both
Stirling's and Bessel's formulas may be derived from a central-
difference table; it is found slightly easier, however, to obtain
these two formulas by an algebraic transformation of the coeffi-
cients of differences appearing in Newton's formula for forward
interpolation [Eq. (7-3)]. It is seen that the coefficients in u
of the various orders of differences in yo are actually the binomial
coefficients.19 By algebraic transformation these coefficients
in u may be replaced by the central differences to which we have
previously referred. By this procedure, we obtain Stirling's
formula for interpolation:
. A?/_i + A?/0 . u\2 u(u2 - l2) A3?/_2 + Azy-i
, ^202 - l2) w i u(u2 - 12)02 - 22) A52/_3 + Aby-2
H -^n A V-2 +
4! *-* ' 5!
u(u- l)(u-2) Afi_. ,
u(u2 -
6!
- V)(u2 -
- 22)(u2 - 32) • • • [u2 - (n - l)2]
u2(u2
- \2){u2 -
(2n - 1)!
^ A2n'ly-n + A>*-Hr-(— d
2
- 22)(u2 - 32) • • • [u2 - (n - l)2]
(2ti)!
X A2^_n (7-5)
+
+
+
7-2-3. Bessel's Interpolation Formula. By a similar pro-
cedure, using another substitution for the binomial coefficients
in u appearing in Newton's formula for forward interpolation, we
obtain BesseVs formula for interpolation:
y = V-l + V} + (w - 1) Ayo + ^J) AV. + A«y.
(m - ^)m(m - 1) A. , m(m - 1)(m + 1)(m - 2)
3! ^ tf-i -r 4|
A4?/_2 + A V-!
X "" 2
_l (u - HM* " l)(t* + l)(n - 2)
n 2/_2
+
5!
w(t* - l)(u + l)(w - 2){u + 2)(w - 3)
6!
A6t/_3 + A6y_2 ,
+
NUMERICAL ANALYSIS 107
u(u - 1)Q + 1)0 - 2)Q + 2) • • • Q - n)(u + n - 1)
(2n)\
X "
2
+ O - 3^)w(w - 1)0 + 1)0 - 2)0 + 2) • • •
(u — n)(u + n — 1)
(2n + 1)!
X A2n+1y-n (7-6)
7-2-4. Lagrange's Formula of Interpolation. The formulas of
Newton, Stirling, and Bessel apply only when equidistant values
of the argument are given. Lagrange, however, developed an
interpolation formula which is applicable to a function for which
the values of the argument are not equidistant.
Consider the function y = f(x) for which it is desired to obtain
an interpolation polynomial <f>{x) of the nth degree. If this
nth-degree polynomial is written as
<f>(x) = a0(x — Xi)(x — x2)(x — Xz) - • - (x — xn)
+ ai(x — x0)(x — x2){x — x3) • ' - (x — xn)
+ a2(x — Xo)(x — xi)(x — x3) • ' - (x — xn) + • • •
+ an(x — Xo)(x — xi){x — x2) • ' ' (x — Xn-i) (7-7)
the n + 1 constants ah a2, . . . , an must now be determined in
order that <£(a;o) = Vo, <^(^i) = Vi, • • • , <t>(xn) = yn. By
taking x = x0 and <t>(x0) = y0, a0 may be evaluated. By a
similar procedure using X\ and 4>(xi) — yh ai may be evaluated,
etc., up to and including the evaluation of an. By replacing the
values for the n -\- 1 constants by their evaluated operations,
Lagrange' s formula of interpolation is obtained:
<h(x) = Qe - xi)(x - x2) • • • (x - xn)
(Xq — Xi)(^o — X%) ' ' ' (Xq — Xn)
+
(X — X0)(X — X2) • • • (X — Xn)
(Xi — X0)(Xi — X2) ' ' • (Xi — Xn)
, (X — X0)(X — X^)(X — XZ) ' ' ' {X — Xn)
(X2 — X0)(X2 — Xi){x2 — X3) * ' ' (X2 — Xn)
i ... i \x ~ xo)\x ~ XU ' ' ' {x — Xn-\) C7-9C)
\Xn Xo){xn X\) ' ' ' [Xn Xn—\)
Since Eq. (7-8) is a functional relation between the variable y
and the variable x, it is allowable to interchange the roles of the
dependent and independent variables and obtain a functional
108 THE BASIC ELEMENTS OF MACHINE COMPUTATION
relation between y and the various given values of x as follows:
e(v) = ^y ~ Vl^y ~ V2) ' ' ' (y ~ Vn) xQ
(Vo - 2/0 (yo - 2/2) • • • (2/0 - y»)
, (y - yo)(y - y») • • • (y - y») ^
(yi - yo)(yi - yi) • ■ ■ (yi - y»)
_i_ (y - yo)(y ~ yi)(v - ys) • • • (y - y») ^2
(ya - ye)(y2 - y0(y2 - y3) • ■ • (y2 - y»)
4. . . . + ^ ~ J^Kff - yO • • • (y - yn-0 x (7_Q)
(yn - yo)(yn - yi) • • • (y« - y«-i)
This relationship is important in determining the value of the
independent variable which corresponds to a given value of the
function. Such a procedure is known as inverse interpolation.
7-2-5. Aitken's Method of Interpolation.1 A practical method
for finding a numerical value of f(x), for a given value of x, when
several values of x and f(x) are known, is Aitken's process of
iteration. This method is well adapted to computing machinery.
It consists of an iteration of the familiar process of linear inter-
polation. The basis for the following description was drawn
largely from Aitken,1 Feller,6 and Milne.16
Eliminating all terms above the first degree in Newton's
formula, Eq. (7-2), we are left with the expression for linear inter-
polation, or interpolation by divided differences. Rewriting
this expression in determinantal form, for the sake of convenience
in computing, and substituting yx — y0 for Ay0 and X\ — x0 for h,
we have
y0 x0 — x
*F(x) =
yi xi — x
(7-10)
X\ — Xq
The superscript (1) indicates that the function was deter-
mined from the first iterate, and the subscript 1 indicates that
it was formed on the difference yk — yo for k = 1. This process
of interpolation by proportional difference is repeated to obtain
021}, *i1}, • • • , 4>n\ where
yo Xq — X
yk xk — x
«
CD =
Xk — Xq
(7-11)
It may be noted that, for x = xk, y = f(x) = ^1}. In the
next iteration, </>(1) is substituted for y in Eq. (7-11). That is,
the same operation performed on the set yk for k = 1, . . . , n
is iterated on the set <j>kl) for k = 2, . . . , n, to obtain
NUMERICAL ANALYSIS
109
4%
</>i
(i)
X\ — x
Xk — x
xk — Xi
(7-12)
The process of iteration is continued until the computed values
of the interpolation function 4>kn) agree to the desired number of
places.
In using this method to compute specific numerical values, a
table of the following type is set up:
Xo
2/o
xo — x
Xi
V\
*P
Xi — X
x2
2/2
4"
A,™
02
Xi — X
Xz
2/3
*P
03
<t>[3)
Xz — X
In practice it is probably most easy to form all the inter-
polating polynomials of successively higher degrees by sys-
tematically following the rules illustrated in Eqs. (7-11) and
(7-12). It is evident, however, that the method can be described
more generally by stating that each value of <f>M is obtained by
linear interpolation applied to any two different interpolating
polynomials </>(n-1).
7-2-6. Hermite's Formula for Interpolating Periodic Func-
tions. If a function y = f(x) is periodic in the interval 2ir, it is
appropriate to use trigonometric interpolation. A formula
derived by Hermite, and also independently by Gauss, is appli-
cable to this condition. Similarity to Lagrange's formula,
Eq. (7-8), for nonequidistant values of the argument of a non-
periodic function is quite apparent.
sin (x — Xi) sin (x — x2) ■ * • sin (x — xn)
y =
+
sin (xo — Xi) sin (x0 — x2)
sin (x — Xo) sin (x — x2)
• - sin (xo — xn)
• • sin (x — xn)
2/o
+
sin (xi — Xo) sin (x\ — x2)
sin (x — Xo) sin (x — Xi)
sin (xi — xn)
sin (x — Xn-i)
+
Vn (7-13)
sin (xn — Xo) sin (xn ■— Xi) • * • sin (xn — #n-i)
In common also with Lagrange's formula, Hermite's trigonometric
interpolation formula may be transposed, by interchanging x
and y, for inverse interpolation of periodic functions.
7-3. Numerical Differentiation
The process for obtaining the numerical value of a derivative
of a given order is connected closely with the use of the interpola-
110 THE BASIC ELEMENTS OF MACHINE COMPUTATION
tion formulas employing differences such as those which we have
briefly outlined in Sec. 7-2. The obvious restrictions also apply
in the matter of equidistant values of the argument, wherein
the formulas of Newton, Bessel, and Stirling may be applied, and
in values of the argument which are not equidistant, wherein
the function is represented by formulas of Lagrange for non-
periodic functions and of Hermite for periodic functions.
The numerical values of derivatives are determined through
the use of differences and interpolation formulas based on these
differences. Taking Newton's formula for forward interpolation
as an example:
y = 0(u) = y0 + u Ay0 + -^j — J-A2y0 + -^ ^ J-~ A*y0
, u(u - l)(u - 2)(u - 3) A4„,
-r ^ ai/o -t- • •
+ u(u-l)(u-2)^ ■ (Un-n + l)Anyo (?_14)
Since u = (x — x0)/h, it follows that
dy _ dy du _ 1 dy
dx du dx h dx
The values of several of the derivatives of y with respect to x
are given below in terms of differences appearing in Newton's
formula of interpolation.
dy
dx
1/ 2u-lA2 .3u2-Qu + 2AZ
= ^ I Ay0 + 2, A22/o + 3j— - A*yQ
, 4w3 - 18w2 + 22^-6 AA
+ 4J A^o
s2/o + ' • ) (7-15)
5w4 - 40w3 + 105w2 - lOOu + 24
5!
d2?/ 1 [A9 , , 1W, . 12u2 - 36u + 22 A4
^J = }p [A22/o + (i* - 1) A32/o + ^ A^o
. 20w3 - 120w2 + 210^ - 100 A5 . 1 /Py 1flx
H ^ A5?/o + * ' * J (7-16)
d82/ 1 /A, , 24w - 36 A4
" jp (^A32/o H -rr - AVo
dx* hz V *u 4!
)u2 - \
5!
. 60^2 - 240w + 210 A5 \ ,7 17,
A52/0 + 1 (7-17)
NUMERICAL ANALYSIS 111
g - I [A<y. + (« " 2) A^„ + • • •] (7-18)
g - i [A^o + • • •] (7-19)
It is seen from the method of determining a numerical value for
the derivatives of a function that this process is capable of being
handled by machine operation where tabular values of a function
are given.
7-4. Numerical Integration
This process allows the numerical evaluation of a definite
integral. Again here, as in differentiation, the method of deter-
mining a numerical value for a definite integral depends upon
interpolation formulas discussed in Sec. 7-2. Since numerical
integration is based principally on differences, it is capable of
being performed by machine where the input data are values
of the function and the function differences. In formulas for
interpolation of functions with equidistant values of the argu-
ment, the increment by which the argument is increased succes-
sively was designated by h where x = x0 + hu. In differential
form dx = h du. For n values or intervals of the argument, x0
is increased by an amount nh. If now we integrate Newton's
formula for forward interpolation, Eq. (7-3), between the limits
x0 and Xq + nh the corresponding limits for u will be 0 and n.
The integral of y dx may then be expressed in terms of the
original differences of the tabulated function and n, the number
of equidistant increments in the argument. This results in the
following expression for this integral:
J ydx = h \ny0 + -^ Aj/„ + I -j - -j I -gf
j^(ni 3_l 2AA32/o,/w5 Zn'Un3 A A^o
This is a general formula from which a number of well-known
special formulas for integration may be obtained.19 It may also
112 THE BASIC ELEMENTS OF MACHINE COMPUTATION
be written in terms of the sums of values of yn of the function;
in this form it is known as the Newton-Cotes formula.15
Several so-called rules derived from the integral result, by
allowing n to take on various values such as 1, 2, 3, and 6, are
listed below.
7-4-1. The Trapezoidal Rule. If we allow n to take on the
value 1 and we neglect all differences above the first, the following
expression is obtained for the integral of y dx :
J ydx = h{^ + yi + yi.+ »,+ ••• + &1 (7-21)
These are just the first terms in the Euler-Maclaurin formula.15
7-4-2. Simpson's One-third Rule. By putting n = 2 and
neglecting all differences above the second, a very important
formula known as Simpson's one-third rule is obtained:
fxo + nh i
I ydx = ^[yo + 4(2/i + 2/3 + * * * + 2/n-i)
+ 2(2/2 + 2/4 + ' ' • + 2/n-2) + 2/J (7-22)
7-4-3. Simpson's Three-eighths Rule. With n = 3, and by
neglecting all differences above the third, an expression for this
interval known as Simpson's three-eighths rule is obtained:
/
xo + nh ^
y dx = -g- [y0 + 3(2/i + 2/2 + 2/4 + 2/5 + 2/7 + 2/8
Xo
+ • • • + 2/n-l) + 2(2/3 + 2/6 + 2/9 + * ' * + Vn-Z) + 2/J
(7-23)
7-4-4. Weddle's Rule. With n = 6 and neglecting all differ-
ences above the sixth, we obtain another important formula,
probably the most accurate of these four, known as Weddle's
rule:
'xo+nh Q7
ydx = T7,(y0 + 52/i + 2/2 + 62/3 + 2/4 + 5yb + 2y6
Jx0 * ~~
+ 52/7 + 2/8 + 62/9 + 2/10 + 52/n + 22/12 + 22/n-e + 52/n-5
+ 2/n-4 + 62/n-3 + 2/n-2 52/n-l + 2/n) (7~24)
It is important to note here that n must be six or a multiple of six.
Other methods for obtaining numerical values of definite
integrals make use of the Stirling and Bessel interpolation
NUMERICAL ANALYSIS 113
formulas based on central differences.19 Since these are similar
in character to the ones which have been sketched above, it does
not appear appropriate to include them in this chapter. Because
of its special character, however, another method for determining
the numerical value of an integral, due to Gauss, will be dis-
cussed briefly here.
7-4-5. The Method of Gauss. All the previously outlined
methods for determining a numerical value for a definite integral
are based on equidistant values of the argument. Where these
values are not equidistant, however, the determination of a
definite value of a numerical integral is best performed by using
a formula developed by Gauss.15 In the development of this
formula, Gauss solved the problem of determining, for a given
number of values of f(x), how the values of the argument should
be distributed in the interval (a, 6) so as to give the greatest
possible accuracy. The result obtained by Gauss indicated
that these values should not be equidistant but should be dis-
tributed symmetrically with respect to the mid-point of the
interval of integration (a, b). The resulting formula of Gauss
may be written
1 = fa^ dx = (b ~ 0)[fll*(«l) + R2Cf>(u2) + Rs4>(uZ)
+ R,4>(u,) + • • • + Rn4>(un)] (7-25)
The values of uh u2, . . . , un represent the subdivisions of the
interval u = 0 to u = 1. The values of x corresponding to each
of the w's may be obtained from these relations:
Xi = a + (b — a)ui
x2 = a + (b — a)u2 (7-26)
xn = a + {b — a)un
Both the quantities u and R must be determined numerically in
order that this equation may be applied to a definite problem.
The Gauss method gives an exact result where the order of the
function is less than or equals 2n — 1. Numerical values of the
u's and the #'s for n = 3, 4, 5, 6, 7 are given in Table 7-3.
7-4-6. An Example Using Three Methods of Numerical
Integration. As an example of the application of (1) Simpson's
one-third rule, (2) Weddle's rule, and (3) the method of Gauss,
114 THE BASIC ELEMENTS OF MACHINE COMPUTATION
the integral
/ j—. — j dx = / 3/ <te
will be evaluated numerically.
Application of Simpson's Rule. Both Simpson's and Weddle's
rules demand that a tabulation of the value oif(x) = x&/(l + x2)
be made. The interval (a,b) has been divided into six equi-
distant increments of the argument x. Table 7-4 results.
Table 7-3. Quadrature Method of Gauss
for Numerical Integration
n = 3
n = 4
n = 5
n = 6
n = 7
U4
0.1127016654
0.5
0.8872983346
0.0694318442
0.3300094782
0.6699905218
0.9305681558
0.04691007703
0.2307653449
0.5
0.7692346551
0.9530899230
0.03376524290
0.1693953068
0.3806904070
0.6193095930
0.8306046932
0.9662347571
0.02544604383
0.1292344072
0.2970774243
0.5
Uf,
0.7029225757
Ue
0.8707655928
Un
0.9745539562
R,
R2
Rz
0.2777777777
0.4444444444
0.2777777777
0.1739274226
0.3260725774
0.3260725774
0.1739274226
0.1184634425
0.2393143352
0.2844444444
0.2393143352
0.1184634425
0.0856622462
0.1803807865
0.2339569673
0.2339569673
0.1803807865
0.0856622462
0.06474248308
0.1398526957
0.1909150253
0.2089795918
0.1909150253
0.1398526957
fi\
0.06474248308
Table 7-4
X
X2
1 +x*
X6
y = /(«)
x0
1.4
1.96
2.96
7.5295360
?/o = 2.5437622
Xi
1.5
2.25
3.25
11.390625
yx = 3.5048077
Xi
1.6
2.56
3.56
16.777216
7/2 = 4.7127011
Xz
1.7
2.89
3.89
24.137569
yz = 6.2050306
Xi
1.8
3.24
4.24
34.012224
2/4 = 8.0217509
X6
1.9
3.61
4.61
47.045881
2/5 = 10.2051803
X*
2.0
4.00
5.00
64.000000
2/6 = 12.8000000
P° x6 0 1
Is = / t-t— 2 dx = ^ [2.5437622 + 4(3.5048077
JiA 1 + z 3
+ 6.2050306 + 10.2051803)
+ 2(4.7127011 + 8.0217509) + 12.8000000]
= 4.0157580 (7-27)
NUMERICAL ANALYSIS
Application of Weddle's Rule
115
f20 x«
dx = 0.03(2.5437622 + 5 X 3.5048077
+ 4.7127011 + 6 X 6.2050306
+ 8.0217509 + 5 X 10.2051803
+ 12.8000000)
= 4.0157507 (7-28)
Application of the Gauss Method
f20 xG
IG = / 1 , 2 dx = O.6[/2i0(wi) + R2<t>{u2) + R9<l>(ut)]
J 1.4 J- "T" X
using n = 3. We now make use of the values of u\, u2, and us
in Table 7-4 to obtain the appropriate intervals Xi, x2, and xs of
the argument.
Xl = 1.4 + (2.0 - 1A)U! = 1.467620999
x2 = 1.4 + (2.0 - \A)u2 = 1.70
x3 = 1.4 + (2.0 - lA)u3 = 1.932379000
Table 7-5 allows the determination of <f>(ui), <t>(u2), and (f)(u3).
Table 7-5
1.467620999
1.70
1 . 932379000
2.153911397
2.89
3 . 734088599
9.992714509
24.13756900
52.06595692
In this example, cf>(u) = x*/(l -\- x2); therefore
, . 9.992714509 Qim,A1,n
*(ttl) = 3.153911397 = 3-168356130
4>(u2) = 24Jfg5Q690Q - 6.20503059
,. , 52.06595692 1ftoOQnoK1-.
*(Ms) = 4.734088599 = 10"809516
3
Multiplying out the terms } Ri4>(ui), using the values of 12 1, R2)
and R3 in Table 7-3,
z = l
116 THE BASIC ELEMENTS OF MACHINE COMPUTATION
R^m) = 0.880098923
R24>(u2) = 2.757791373
R34>(u3) = 3.055026432
^ Ri<t>(ui) = 6.692916728
3
:) dx = (b-a)\ {Ri<t>{ui)}
i = i
/>
9dx = 0.6 X 6.692916728
+ x2
= 4.0157500 (7-29)
In order to check the accuracy of the methods worked out above,
the integral has been evaluated to eight significant figures.
f20 x« J [x* X* .
/ i ■ 2 dz = T ~~ "5" + x ~ tan
JiA I + x2 15 3
2.0
1.4
= 4.0157501 (7-30)
In this particular example, it is apparent that the method of
Gauss is the most accurate, while Simpson's rule is the least
accurate. Weddle's rule, however, gives a numerical value
close to the true evaluation (within six digits in the eighth
place).
7-4-7. Evaluation of Double Integrals. There are many
important applications in which the numerical value of a double
integral is required and where it is not possible to perform the
integration analytically. A definite double integral of a function
of two independent variables may be evaluated by extending
Simpson's rule to functions of two variables or by a repeated
application of ordinary quadrature formulas for one variable.
Both of these methods are straightforward in principle but may
involve detailed numerical calculations. Graphically the pro-
cedure amounts to evaluating the function at selected points
on a two-dimensional grid. The intervals along the abscissa
and the ordinate may be of the same magnitude or may differ
greatly in magnitude, depending upon the manner in which the
function changes with each of the independent variables.
NUMERICAL ANALYSIS 117
7-5. Numerical Solution of Algebraic and Transcendental
Equations
The methods for finding roots of a numerical equation are
numerous. We are interested in this section in examining those
methods for solving definite problems which may be used as
components in a computing-machine program. Three methods
will be discussed: the Newton-Raphson method, the method of
false position, and the method of iteration. These methods
apply both to algebraic and to transcendental equations. For
two simultaneous algebraic equations, an extension of the
Newton-Raphson method and the method of iteration will be
discussed, and, finally, the Graeffe root-squaring method for
solving algebraic equations. It is realized that the material
chosen for this section does not by any means exhaust the dis-
cussion of the entire domain of methods which could be applied
to particular problems.
The Newton-Raphson method, the method of false position,
and the method of iteration for finding roots of algebraic or tran-
scendental equations require that an approximate value of the
root be known before these methods may be applied. A graphical
procedure is frequently used to find an approximate value of the
root of an equation.14 With such an approximate value given,
these methods essentially apply corrections to this approximate
value, and, by this means, the successive values obtained con-
verge to the correct root of the equation.
7-5-1. Newton-Raphson Method. This method makes use
of an approximate value of the desired root and the derivative
of the function. Let us assume that the approximate value of
the root of a function f(x) = 0 is denoted by the quantity Xo
and that this value must be corrected by a quantity h to give the
exact value of the root,
x = Xo + h
We now expand the function f(x0 + h) = 0 in Taylor's series and
neglect all terms in h higher than the first, leaving the approxi-
mate relation
f(x0) + hf(x0) = 0
The first approximation hi to the correction h necessary to give
118 THE BASIC ELEMENTS OF MACHINE COMPUTATION
the desired root is
*--$S (7-3i)
The root of the equation is then improved to a value
si = x0 + h, = xo - jj^ (7-32)
This process is continued until the value of the root is obtained
to the desired accuracy.
As an example of this method, consider f(x) as the polynomial
fix) = ax2 + bx + c = 0 (7-33)
The derivative of fix) is
fix) = 2ax + b
Using x = Xo as the first approximation and substituting in
Eq. (7-32) yields
A special case of Eq. (7-33) is the condition where a = 1,
6 = 0, and c = — u, so that
x2 = u
x = y/u (7-35)
Substituting into the expression for xh the equation is obtained:
* - 5 (* + j) (7-36)
which is a useful and well-known form.
As another example of the use of the Newton-Raphson method
consider the transcendental equation
f(x) =z-Ksina;-l=0 (7.37)
(7-38)
/'(*) = 1 -
y%
COS X
Substituting in
(7-32),
Xo —
X\ Xq j
}>£ sin xo —
— Yz COS Xq
1
As a first approximation take
NUMERICAL ANALYSIS 119
7T
so = 2
w _ Qr/2) - H sin Qr/2) - 1 _ L5
Xl 2 1 - M cos (i/2)
= _ 1.5 -^ sin (1.5 radians) - 1 = umM2
1 — cos 1.5 radians
For this value, /(1.498062) = 0.000616.
7-5-2. Method of False Position. To apply this method, it is
necessary first to find two values of the argument between which
the function f(x) vanishes. Preferably these values should be as
close together as possible. With these two values of the argu-
ment and the two known values for f(x) at these two points, a
first approximation to the root is obtained by linear interpolation
between these two values of the function. Essentially the func-
tion f(x) in the interval is replaced by a straight line. By
successive applications of this method it is possible to find a value
of the root to the degree of accuracy required.
7-5-3. Method of Iteration. A method for the evaluation of
f(u) which is extremely useful for many special cases is based on
the following procedure: Given the equation
x = }{u) (7-39)
it is possible to choose many functions g(x,u) such that for all
values of u
g[f(u),u] = k
where k is constant. For some convenient choice of g(x,u),
consider the equation
g(x,u) = k (7-40)
The principal criterion of choice is convenience in writing the
inverse (in u) of the function g(x,u) with x held fast. For
x = xo, an approximate value of f(u), g(x0,u), may be evaluated
and written
g(x0,u) = k + h (7-41)
where h is the difference between g(x,u) and g(x0,u).
The function f(u) may now be expressed as a function of Xo
and h by solving for u in Eq. (7-41) and evaluating f(u) :
f(u) = F(x0,h) (7-42)
120 THE BASIC ELEMENTS OF MACHINE COMPUTATION
The next approximation for x is then obtained by expanding
Eq. (7-42) and retaining only the linear term in h.
In this approximate solution the value for h from Eq. (7-41)
is substituted and the result simplified.
As an example of this method, the development of an expression
for the square root of u will be made. For x = f(u) write
x = \/u (7-43)
Squaring both sides:
x2 = u (7-44)
u - x2 = 0 (7-45)
Equation (7-45) is an identity of the type sought, and it leads to
a choice g(x,u) = u — x2 and k = 0. Then, if x0 is an approxi-
mate square root of u, in accordance with Eq. (7-41), write
u - x20 = h (7-46)
Taking the square root,
v* = (h + xl)H (7-47)
and regrouping,
uH = x° i1 + Fif (7_48)
The quantity [1 + (h/x20)]iA may be expanded by the use of
Taylor's series.
M =
For the approximation only the linear term in h is considered, so
that f(u) = f(x0,h) becomes
(•♦#
u* ^ xo I 1 -f g^l (7-50)
Substituting in Eq. (7-50) a value for h obtained from Eq. (7-46),
U* £* xo + ^- (u - 4) (7-51)
or
«h«J(*+-J) (7-52)
which agrees with Eq. (7-36) above.
NUMERICAL ANALYSIS 121
A different expression may be developed for y/u by use of the
same method. From the expression
(7-53)
(7-54)
(7-55)
Hi
Let x0 be the first approximation to x; then g(x0,u) = k + h
becomes
| = 1 + h (7-56)
Solve for u and take the square root:
uA = 30(1 + h)~* (7-57)
Again using the Taylor series:
x = \/u
write [to obtain g(x,u)
= k]
X2
g(x,u) = —
to
X2
\/u =
Xq
1-^+ 2A)W+ ■ ■ ■ (7-58)
And again retaining only the linear portion of this expression
Vu = *o(l - Hh) (7-59)
But h may be expressed in terms of u and x0 according to
(7-56), and
. V^ = Xo[l--2(^-l)] (7-60)
Collecting terms and regrouping,
Vu^l(sxo-f) (7-61)
Both Eqs. (7-52) and (7-61) give useful iteration schemes
for square root of u.
As a numerical example, it is desired to calculate -\/2 to 10
significant figures using both Eqs. (7-52) and (7-61).
(a) Using Eq. (7-52) : Let
Xo = 1
then
xl = 1.5
122 THE BASIC ELEMENTS OF MACHINE COMPUTATION
Inserting x\ as the approximate solution in Eq. (7-52) leads to
the improved approximation
x2 = 1.416667
then
x3 = 1.414215686
and
xA = 1.414213562
which is the correct value of -\/2 to 10 places.
(b) Using Eq. (7-61): Let
Xo = 1
then
xi = 1.25
x2 = 1.386718750
xs = 1.413416937
xA = 1.414212890
xh = 1.414213562
which is the correct value of \/2 to 10 places.
The need for an approximation of the value of the inverse of a
quantity is frequently encountered. The required inverse may
also be evaluated by using the previous method. For example,
let
x = - (7-62)
v
An analysis similar to that for -\/u may be developed. For
g{x,v) = k, write
vx = 1 (7-63)
Let Xo be an approximate solution and write
vxo = 1 + h (7-64)
Solving for 1/v,
1 t„
(7-65)
(7-66)
(7-67)
1 Xo
v 1 + h
Using the first two terms of the h
>inon
v = *o(1 "
■ h)
Substituting for h
- = z0(2 -
V
Too)
NUMERICAL ANALYSIS 123
which is a simple easily calculable expression improving an
approximation to the inverse of v. The application of Eq. (7-67)
to the design of calculating machinery was first suggested by
Aiken in 1938. It is used in the Harvard Mark II.
The Newton-Raphson method and the method of iteration
may be extended to find roots of several simultaneous algebraic
and transcendental equations. The extension of both these
methods is obvious. The scope of this book does not allow a
detailed exposition of these methods, especially since they are
well described elsewhere.
7-5-4. The Root-squaring Method of Graeffe. The methods
which have been described (Sec. 7-5-1 through 7-5-3) deal only
with procedures for finding real roots of algebraic and trans-
cendental equations; a further restriction on these methods is
the requirement that an approximate value of the root of an
equation be known before it is possible to apply any of them.
A process has been developed by Graeffe for finding both the
real and the complex roots of polynomials without recourse to
initial approximate values. This method is based upon the
transformation of a given equation into another equation whose
roots are high powers of the roots of the given equation. The
first step in this process is to transform a given algebraic equation
into one whose roots are the squares of the given equation. The
second equation is again transformed into a third equation whose
roots are squares of the roots of the second equation and, con-
sequently, are fourth powers of the roots of the given equation.
This root-squaring process is applied successively until the ratio
of any root to the next larger root is negligible in comparison with
unity. The roots of the last transformed equation are then
considered as separated. By this method the original equation
is transformed into a set of simple equations from which the
desired roots may be obtained.
If «i, a2, a3, . . . , an are roots of the equation f(x) = 0,
this equation may be expressed as a polynomial.4
f(x) = (x — ai)(x — a2)(x — clz) • • • (x — On) (7-68)
If this polynomial is multiplied by /( — x) where
/(-*) = (~l)n(x + ax)(x + a2)(x + a,) • ■ • (x + a») (7-69)
a new polynomial results:
124 THE BASIC ELEMENTS OF MACHINE COMPUTATION
Mx) =f(x)f(-x) = (-1)»(*2 - a\){x2 - al)(x> -«!)•••
(x*-al) (7-70)
This polynomial has roots which are the squares of the roots of
Eq. (7-68). Again if Eq. (7-70) is multiplied byfi(-x), another
polynomial f2(x) is obtained:
Mx) =fi(x)fi(-x) - (^ - a\)(x± - a\){x* - «J) - • •
(x*-a*n) (7-71)
with Toots which are the fourth powers of the roots ah a2, a3y
. . . , an of Eq. (7-68). This procedure may be repeated until
the roots are separated as defined above.
After the rth squaring operation the result may be expressed4
(x2r)n + 61(x20n-1 + b2(x2r)n~2 + • • • + bn = 0 (7-72)
If y = x2r,
yn + biyn-l + b2yn-2 + . . . + ^ = Q (7_73)
If the operation of squaring has been carried out so that the roots
are properly separated, the approximate absolute values of the
roots 2/1, 2/2, . . . , yn of Eq. (7-73) and ah a2j . . . , an of Eq.
(7-68) are
(7-74)
The Graeffe method does not permit a determination of the signs
of the roots ah a2, a3, . . . , an; the signs must be found either
by graphing the function f(x) or by other methods such as the
application of Descartes' law of signs.9
As an example of the Graeffe method a start will be made to
find the roots of the fourth-degree polynomial
x4 - 10x3 + 35x2 - 50x + 24 (7-75)
(which are known at the outset to be 1, 2, 3, and 4). On the
first squaring, the eighth-degree polynomial is obtained:
I2/1I ~ w,
|ai| ~ \/bi
1 1 *F*
W-^;
W ~ >/£
30x6 + 273x4 - 820a;2 + 576 (7-76)
This has roots:
NUMERICAL ANALYSIS
Xl = -y/30 = 5.477
X2 = V^Wo = 3.017
xz = V820Ai3 == 1-733
Xi = V57%20
125
(7-77)
= 0.8381
The result of the second squaring operation leads to
xu - 354x12 + 26,481x16 - 357,904x4 + 331,776 (7-78)
The third squaring process gives
z32 - 72,354x24 + 448,510,881.t16 - 110,523,752,704x8
+ 110,075,314,176 (7-79)
A summary of the first three approximations to the roots
«i, «2, a3, and a4 is given in Table 7-6.
Table 7-6
First
approximation
Second
approximation
Third
approximation
Q!4
5.477
3.017
1.733
0.8381
4.338
2.941
1.917
0.9812
4.049
2.979
1.991
0.9995
The root squaring may be continued until the desired accuracy
in the roots is obtained. The application of the Newton-Raphson
method with these first approximations may, in some cases, be
found to converge faster to acceptable roots than the squaring
process. It should be noted that the sum of the roots in the
third approximation is 10.0185, which differs by less than 0.2 per
cent from the value of the coefficient of the cubic term in Eq.
(7-75).
7-5-5. Numerical Solution of Simultaneous Equations. The
Newton-Raphson method and the method of iteration may be
extended to find the real roots of several simultaneous algebraic
and transcendental equations. The extension of these methods
to several equations is described by Scarborough,19 by Margenau
and Murphy,15 and by Whittaker and Robinson.20
The numerical solution of simultaneous linear equations,
12G THE BASIC ELEMENTS OF MACHINE COMPUTATION
which are of prime importance in physics and in chemistry, may
be performed by several methods. The method of deter-
minants is useful15 where the number of unknowns is less than
four or five. Beyond this number the method becomes unduly
arduous. Matrix methods for solving simultaneous linear equa-
tions are described by Frazer, Duncan, and Collar,8 by von
Karman and Biot,12 by Bargmann, Montgomery, and von
Neumann,2 and by von Neumann and Goldstine.17 These
methods are useful where there is a large number of unknowns.
In quantum-mechanical problems, in which characteristic roots
of secular determinants are required, a polynomial method and
an iteration method are described by Margenau and Murphy.15
7-6. Numerical Solution of Ordinary Differential Equations
The numerical solution of differential equations may be per-
formed by a number of well-established methods. These
methods are well described in the literature, 15>18"20 and extensive
samples describing each of these methods are available to those
who desire a more detailed understanding of the principal
methods. Of the many methods which are available for general
and for many special types of equations, four methods have been
chosen for treatment in this chapter. These procedures are the
methods of Picard, Adams, Runge-Kutta, and Milne. A review
of these methods is given by Bennett, Milne and Bateman;3
numerical examples may be found in Scarborough19 and in
Whittaker and Robinson.20
7-6-1. Method of Picard. The method of Picard is essentially
a process for obtaining the numerical solution of a differential
equation by successive approximations. Let us consider initially
a first-order differential equation in x and y. This may be written
as follows:
% = f(x'y) (7-80)
Transposed to integral form, this equation may be expressed as
y = Sf(x,y) dx (7-81)
or
V-Jg|<te (7-82)
If the initial values for x and y are Xo and y0,
NUMERICAL ANALYSIS 127
V = Vo + fxJ(x,y)dx (7-83)
In order to determine successive values of y as a function of x,
this integral equation must be solved. We start by holding y
constant at y0 and actually perform the integration with respect
to x. This leads to a value yx as a first approximation for y, or
yi = yo+ fxXJ(x,y0)dx (7-84)
Using the value of yi thus obtained, a second approximation yi
may be found from the relation
2/2
Vo + fj(x,yi) dx (7-85)
In obtaining a numerical value for this integral equation, the
region in which the desired solution lies is divided into a number
of increments (proceeding from the lower to the upper limit).
When a satisfactory value for y is obtained after the first step,
the procedure of integration is repeated again in the same manner
starting with the values of x and y just determined as initial
points. By this means a numerical solution for the integral
equation, and hence for the differential equation from which it
was derived, can be obtained.
Another method closely associated with the method of itera-
tion, or the method of Picard, may be performed by use of an
approximating polynomial similar in form to that which was
considered earlier in this chapter in the discussion of Newton's
formula for backward interpolation.
The application of the method of iteration can be made to
differential equations of the second order. This method, how-
ever, requires that the differential equation of the second or
higher order be reduced to a system of first-order equations.
7-6-2. Method of Adams. Although the method of Adams
is somewhat similar in procedure to the method just described,
it depends for its usefulness on the ease with which derivatives
of the function can be obtained. If y = f(x) is the desired
integral relationship appropriate to a differential equation for
which a numerical solution is desired, the method of Adams
proceeds by expanding this function in a Taylor series about Xq:
128 THE BASIC ELEMENTS OF MACHINE COMPUTATION
f(x) = /(*„) + (X- Xo)f(x„) +(x- x„yf^ff- + • ■ ■
+ {x - Xo)J-^
In terms of y, this expansion is equivalent to
(7-86)
y = 2/0 + 2/o(* - xo) + y (x - x«)2 + • • • + ^r ^ ~ *°)n
(7-87)
In order now to find approximate values for y, namely, yh y2,
2/3, 2/4, etc., we next determine the derivatives yQ, y", y'Qn from the
given differential equation for the initial values x = x0 and
y = y0; we take the increments in x, which are h, 2h, etc.,
successively in the last equation.
The success of the method of Adams depends on how easily the
required derivatives may be determined and how quickly the
Taylor series converges. It is pointed out, for example, by
Scarborough,19 that this method is not applicable to starting
the computation of a ballistics problem because of the difficulty
in calculating successive derivatives of the air-resistance term.
7-6-3. Method of Runge-Kutta. This method differs from
either of the methods previously described in that the increments
of the function are calculated only once by means of definite
relationships which will be given below. In this sense, the
numerical solution of a differential equation by this method is in a
series of approximations for any single increment. Consider a
differential equation of the first order in this form:
% = f(x,y) (7-88)
and let the quantity h be taken as the increment by which the
independent variable x is attained. It is required to find the
increment by which y changes from the initial value y0. By the
Runge-Kutta method, the formulas which are applied are given
below:
ki = f(x0,yo)h
k2 = / ( xo + ^ 2/o + y ) h
h ^/Uo+^yo+^Jh (7-89)
&4 = f(x0 + h, 2/0 + £3)^
A?/ - M(fci + 2fc2 + 2A;3 + kA)
NUMERICAL ANALYSIS 129
The last equation determines the increment in y as a function of
k\, &2, k3, and &4. By this procedure then, values for x\ and yi
determined by the initial conditions x0 and y0, and the denning
equations above, are
xi = x0 + h; 2/1 = 2/0 + Ay '7-90)
Successive values y2, y$, y±, etc., are determined in the same way
and with the use of the same formulas, with xx replacing x0 and y^
replacing y0. It is interesting to note that if the derivative is a
function only of x, this method reduces to Simpson's rule.
The method of Runge-Kutta may be extended to simultaneous
first-order equations or to higher order equations reduced to a set
of first-order differential equations by introducing auxiliary
variables for transformation. The principal advantages in this
method over the method of Picard or the method of Adams lie
in the fact that there is required no process of approximation of
lengthy iteration by which each increment in the dependent
variable is obtained.
7-6-4. Milne's Methods. An interesting method has recently
been developed by Milne for the numerical solution of differential
equations. This method allows values of y to be calculated after
the first four values of y and y' have been determined by other
means, perhaps by one of the several methods described above.
With these values, the Milne method can then be applied to
determine further successive values of y by using an integral
form of Newton's formula for forward interpolation, Eq. (7-3),
expressed in terms of y' (see Sec. 7-2-1). For example, the next
value of y may be approximated by the use of this formula
Ah
iff = 2/n-4 + y (22/U - 2/L2 + 2^_3) (7-91)
This equation is obtained by integrating from rrn_4 to xn (an
interval of Ah). The value of y™ thus obtained is then sub-
stituted into the original equation
tx = f(x'v) (7_92)
so that the value of y'n may be determined. With this value of yn
another value of yn, namely, y^\ is obtained through the use of a
second relation obtained from Newton's formula, Eq. (7-3), by
130 THE BASIC ELEMENTS OF MACHINE COMPUTATION
integrating from xn-i to xn (an interval of 2h),
y™ = yn_2 + | (y'n + \y'n_x + y'n_2) (7-93)
This allows a second value for yn to be determined and to be com-
pared with y„\ If these values agree to the accuracy required,
y™ is considered to be correct. It is then substituted in the
original equation to get the correct value for y'n. By this method,
succeeding values of y may be determined.
REFERENCES
1. Aitken, A. C, On Interpolation by Iteration of Proportional Parts,
without the Use of Differences, Proceedings of the Edinburgh Mathemati-
cal Society, Series 2, Vol. Ill, Part I, pp. 56-76 (March, 1932).
2. Bargmann, V., D. Montgomery, and J. von Neumann, Solution of
Linear Systems of High Order. Report prepared under Contract Nord-
9596 between the Bureau of Ordnance, Navy Department, and the
Institute for Advanced Study (Oct. 25, 1946).
3. Bennett, A. A., W. E. Milne, and H. Bateman, Numerical Integration
of Differential Equations, Bulletin 92 (The National Research Council
of The National Academy of Sciences, Washington, D.C., 1933).
4. Bocher, M., Introduction to Higher Algebra (The Macmillan Company,
New York, 1907), pp. 17-18.
5. Crumpler, T. B., and J. H. Yoe, Chemical Computations and Errors
(John Wiley & Sons, Inc., New York, 1940).
6. Feller, W., On Ailken's Method of Interpolation, Quarterly of Applied
Mathematics, Vol. I, No. I, pp. 86-87 (April, 1943).
7. Ford, L. R., Differential Equations (McGraw-Hill Book Company, Inc.,
New York, 1933), pp. 113-146, 147-162.
8. Frazer, R. A., W. J. Duncan, and A. R. Collar, Elementary Matrices and
Some Applications to Dynamics and Differential Equations (Cambridge
University Press, New York, 1946), pp. 148-155.
9. Hall, H. S., and S. R. Knight, Higher Algebra (Macmillan & Co., Ltd.,
London, 1946), pp. 459-460.
10. Ince, E. L., Ordinary Differential Equations (Longmans, Roberts and
Green, London; reprinted by Dover Publications, New York, 1944),
pp. 540-547.
11. Jeffreys, H., and B. S. Jeffreys, Methods of Mathematical Physics (Cam-
bridge University Press, New York, 1946), pp. 237-284.
12. von K&rman, T., and M. A. Biot, Mathematical Methods in Engineering
(McGraw-Hill Book Company, Inc., New York, 1940), pp. 196-204.
13. Laderman, J., and M. Abramowitz, Application of Machines to Differ-
encing of Tables, Journal of the American Statistical Association, Vol.
41, pp. 233-237 (June, 1946).
14. Levy, H., and E. A. Baggott, Numerical Studies in Differential Equa-
tions, Vol. I (C. A. Watts & Co., Ltd., London, 1934).
NUMERICAL ANALYSIS 131
15. Margenau, H., and G. M. Murphy, The Mathematics of Physics and
Chemistry (D. Van Nostrand Company, Inc., New York, 1943).
16. Milne, W. E., Numerical Calculus (Princeton University Press, Prince-
ton, N.J., 1949).
17. von Neumann, J., and H. H. Goldstine, Numerical Inverting of Matrices
of High Order, Bulletin of the American Mathematical Society, Vol. 53,
No. 11, pp. 1021-1099 (November, 1947).
18. Runge, C, and Konig, Numerisches Rechnen (Springer- Verlag, Berlin,
1924).
19. Scarborough, J. B., Numerical Mathematical Analysis (Johns Hopkins
Press, Baltimore, 1930).
20. Whittaker, E. T., and G. Robinson, The Calculus of Observations 4th ed.
(Blackie & Son, Ltd., Glasgow, 1944).
Part II
COMPUTING SYSTEMS
The following five chapters will deal with present and proposed
equipment for performing mathematical computations. Chapter
8 describes the basic functions which the desk calculating machine
can perform. Chapter 9 outlines the available types of punch-
card equipment and indicates how these may be used to perform
the four basic arithmetic operations. A general description of
several large-scale digital equipments is given in Chap. 10.
Some general remarks on analog computing machinery are made
in Chap. 11. A possible form which a digital computer might
take, based on the requirement for solving a certain class of
mathematical problems, is given in Chap. 12.
The purpose of these five chapters is to define, by example,
the field of application of computing systems which are composed
of the basic arithmetic and physical components to which this
volume is primarily devoted.
CHAPTER 8
DESK CALCULATORS
8-1. Introduction
The commercial desk computing machine is a compact instru-
ment capable of performing the basic arithmetic operations
quickly and simply. These devices are not intended to compete
with electronic machines of large capacity and high speed which
are now in existence or in design. The desk calculator makes
available to the individual computer a simple machine capable
of straightforward calculations. With this machine, the arith-
metic operations of addition, subtraction, multiplication, and
division can be performed. Although desk calculators were
developed primarily for use in the commercial and accounting
fields, they may be used efficiently without modification for many
scientific computations. While it is not sensible to discard as
hopeless those computations which could be carried out only on
large-scale digital computing equipment, it is equally unwise (as
Comrie1 points out) to procure expensive custom-built equip-
ment when one of the simpler mass-produced computing devices
will carry out the required computations more economically.
For this reason it seems desirable to outline here the capabilities
of standard electrically driven desk calculating machines.
For some applications, particularly those which do not require
the handling of a large number of digits, key-actuated non-
automatic machines are satisfactory. A discussion of machines
of this type is beyond the scope of this chapter, which is confined
to descriptions of the basic functions of electrically driven desk
calculators.
In the United States, five companies manufacture electrically
driven desk calculating machines: Friden Calculating Machine
Co., Inc., Burroughs Adding Machine Co., Marchant Calculating
Machine Co., Monroe Calculating Machine Co., Inc., and
Remington Rand, Inc. These machines are all generally
similar with keyboard setting, electric drive, automatic multi-
135
136 COMPUTING SYSTEMS
plication and division, and a few additional special characteristics.
They differ from each other in the ease of carrying out particular
operations, in available storage and transfer facilities, but not in
the type of results obtainable or in the principle of operation.
8-2. General Description of the Machines
The desk calculator is designed with a keyboard of several
columns, each column containing a key for each of the digits from
0 through 9. Near the keyboard are mounted various operating
bars, clearing keys, and reversing levers; the number of these and
the type depend upon the complexity of the machine. (Some
machines have supplementary keyboards for the entry of mul-
tipliers or other numbers.) Above this keyboard is a movable
carriage with two registers; one is known as the multiplier register
and the other as the product register. The product register
usually has a digit capacity twice that of the multiplier register.
Various supplementary markers and pointers are available for
convenience in indicating decimal points, the position of the
carriage relative to the keyboard, etc. The carriage contains
knobs for clearing each register, and sometimes provision for
setting numbers into the product register manually.
8-3. Operation of the Machines
The operation of desk calculators to carry out the elementary
arithmetic processes is briefly as follows:
8-3-1. Addition and Subtraction. Assume first that the
augend or minuend is already in the product register. The
movable carriage is placed in a position so that the digits in this
number are directly above the corresponding digits on the key-
board, and the addend or subtrahend is set digit by digit into
various columns of the keyboard. Depression of the plus bar
for one cycle of the machine adds the number entered on the
keyboard to the number in the product register, leaving the sum
in the product register. Depression of the minus bar for one
cycle of the machine subtracts the number in the keyboard from
the number in the product register and leaves the difference in
the product register; negative numbers are represented by
complements. For example, if all the dials are cleared and a
given number is set into the keyboard and subtraction performed,
the machine represents this negative number by indicating, in the
DESK CALCULATORS 137
product register, another number to which the given number must
be added to give a certain power of 10. In a 20-digit product
register this number is usually 1020, which exceeds the capacity of
the machine by one digit. In some machines capable of holding
20 digits in the product register, this number may be 1014. This
system of representing negative numbers by their complements
is commonly used for computations with logarithms in order
to keep all mantissas positive; it serves the same purpose on large-
scale computing machines. Several desk calculators include a
button near the keyboard marked add; if this button is depressed,
the keyboard is cleared after one machine cycle, and careless
prolonged depression of the operating bars will not produce
incorrect answers.
8-3-2. Multiplication. To multiply, the multiplicand is set
in the keyboard, and the product and multiplier registers are
cleared. The machine multiplies by successive additions. With
the carriage in its extreme left-hand position and with the add
button released, the plus bar is depressed for a period of time
sufficient to permit the extreme right digit of the multiplier to
build up in the multiplier register. In this operation the digit
of the multiplier register immediately above the extreme right
column of the keyboard increases by one for each cycle the
machine operates. Thus, at the time of this first step, in which
the right digit of the multiplier is entered into the multiplier
register, the multiplicand is added into the product register by a
number of times equal to the right digit of the multiplier. Next,
the carriage is shifted one digit to the right, and the process is
repeated until the 10's digit of the multiplier appears in the
proper place in the multiplier register. In this way, iteration of
the add-and-shift technique yields the final product in the
product register.
Many keyboard machines perform automatic multiplication.
In this process the multiplier is set into an auxiliary keyboard,
and the multiplicand is set into the upper keyboard. The
machine will automatically carry out the process described above.
8-3-3. Division. Normally, division is performed by a process
of successive subtractions similar to the multiplication process
described above. The dividend is set in the product register well
to the left. The divisor is set into the keyboard underneath the
dividend. The multiplier register is cleared. A reversing lever
138 COMPUTING SYSTEMS
near the keyboard is thrown so that the number in the multiplier
register increases when the minus bar is depressed and decreases
when the plus bar is depressed. With this arrangement the
minus bar is depressed for a time long enough to introduce a
series of 9's at the extreme left end of the product register.
This indicates that the partial remainder has become negative
and that the number in the multiplier register is greater than the
quotient sought. The plus bar is depressed for one cycle, making
this partial remainder positive again, and the carriage is shifted
one digit to the left. With the carriage in this position the
process is repeated. This iteration is continued until the carriage
is in its extreme left position. At this time the quotient is in
the multiplier register, and the remainder is in the product
register. This is the process described in terms of elementary
computing operations in Chap. 6.
This process is built in for automatic operation in many desk
calculators. Provision for automatic division is far more com-
mon than automatic multiplication in desk calculators.
8-4. Capacity, Speed, and Capabilities
In describing desk machines the capacity is usually given by
a series of three numbers. The first of these numbers indicates
the number of columns in the keyboard; the second indicates the
number of digits in the multiplier register; the third indicates the
number of digits in the product register. Thus, a machine
described as 10 X 11 X 21 is one with 10 columns in the key-
board, 11 digits in the multiplier register, and 21 digits in the
product register. This is a fairly common size of machine.
The speed of calculation is dependent upon the cyclic speed of
the machine and upon special features built into machines.
Most machines operate at a rate of 500 to 650 cycles per minute,
although some models operate at a rate of 1,350 cycles per minute.
Some time saving may be obtained if the machine starts an
automatic multiplication while other digits are entered. Time
may also be saved by automatic short cutting in multiplication;
this process shortens the number of steps required in some
multiplications by running the machine backward to get high
digits on the multiplier register and later correcting left-hand
digits for unwanted carry-over. Thus to multiply by 89, the
DESK CALCULATORS
139
machine might first multiply by — 1, shift and multiply by — 10,
shift again and multiply by 100 to clear the unwanted 9's.
Since the speeds of various computing machines and their
separate components have been mentioned elsewhere in this book,
it seems advisable here to note briefly the performance of desk
calculators in this respect. In the succeeding section of this
chapter the addition speeds of several desk calculators are given.
For two of the machines, the Friden and the Monroe specifically,
the addition speed is of the order of 500 to 650 counts per minute ;
for another machine, the Marchant, the addition speed is about
1,350 counts, over twice the speed of either of the first two
machines.
In the operations of multiplication and division, which are
performed on all these machines by an iterative process of suc-
cessive addition (or subtraction) and column shift, there is no
marked difference in the total times of all three machine opera-
tions. To indicate this, there are listed in Table 8-1 a few repre-
sentative operations involving 10-digit multiplications and
divisions with the approximate performance times in each
machine.
Table 8-1
Friden
Marchant
Monroe
Addition speed
500 digits
1350 digits
650 digits
per minute
per minute
per minute
Multiplication :
9,999,999,999
12 seconds
10 seconds
11 seconds
X 9,999,999,999
Division :
9,999,999,999
3.141592654
9 seconds
8.5 seconds
10 seconds
9,999,999,999
2.8182846
9 seconds
8 seconds
9 . 5 seconds
It has been estimated, as a conservative figure, that in an
8-hour day one good operator can produce 400 10-by-10-decimal-
digit multiplications or divisions. This includes time for
recording the answer of each operation and for making some
elementary accuracy checks. One thousand additions may be
performed in the course of an 8-hour day by the one calculator.
Considerable saving of time can be effected if a program can be
140 COMPUTING SYSTEMS
devised in which the numbers in the registers of the machine
are reused without transcription. For example, in using Aitken's
interpolation method described in Sec. 7-2-5, the computed value
of the determinant appears in the main dials and is divided by
the appropriate factor without transcription.
8-5. Special Features
The manufacturers of calculating equipment have built into
some of their machines several special features designed to
facilitate particular types of computation. A description of a
few of these features is given here. It should be emphasized
that an increase in the number of automatic features on the
machine usually represents an increase in the service require-
ments of the device. The most economical machine which will
carry out an expected computation is generally the best choice for
that computation. Special features mentioned by the various
companies are as follows:
8-5-1. Burroughs. The Burroughs Adding Machine Com-
pany lists two Electric Duplex Calculators which are adaptations
of the adding machine. These calculators have no provision for
automatic multiplication or division; these operations must be
performed by manual positioning in steps across the keyboard to
simulate the action of a movable carriage. The outstanding
characteristic of these calculators is the provision for using two
accumulating registers, one for the results of detailed calculations,
including the four arithmetic operations, and the other for
accumulating the results occurring stepwise on the first register.
The results from the first register may be added to or subtracted
from those in the total or second register; this transfer resets the
first register for the next operation.
8-5-2. Friden. The Friden has a 10-key setting for the mul-
tiplier in automatic multiplication. The machine, however, does
not have complete 10's transmission in the product register;
essentially, the Friden takes complements on 10 14 and not
on 1020.
The Friden machine is available with both the split and the
normal dial clearance. With this adaptation, the upper dial
may be split into a right and left section at the seventh, eighth
or ninth digit. The split feature enables the operator to clear
DESK CALCULATORS 141
the left upper dial and to accumulate in the right upper dial or to
accumulate in the left and clear the right upper dial.
A Multiplier Nonentry Control available only on Friden
Models S and ST is an important advantage for calculations such
as ab/c. With a special counter control key, the individual or
the accumulated multipliers are prevented from entering the
lower dial. The product ab, entered in the upper dial, may then
be divided by c with the quotient entering the lower dial. In
this operation only the results of division are registered and
accumulated on the lower dial.
The normal operation of the Friden is approximately 500
counts per minute.
8-5-3. Marchant. The newer models of the Marchant operate
at a counting speed of 1,350 counts per minute. In the other
types of machines, both multiplicand and multiplier must be
set before multiplication begins. In the Marchant the multi-
plicand is set as usual. The multiplier is set into an auxiliary
row of 10 keys. As each key is pressed, its digit is absorbed into
the multiplier and the carriage moved to the next position.
While this machine is running on one digit, the next may be set.
Since the speed of the machine is 1,350 counts per minute, the
product is always completed within 3^2 second after setting the
last digit. This feature enables an operator to carry out more
multiplications per hour because he does not have to spend as
much time waiting for the machine. For the same reason,
however, some operators find the machine more tiresome to
use for extended periods of time.
The high speed of the Marchant is possible because the numeral
wheels are operated by continuously driven gears. These gears
are selected by the keyboard setting.
„ The Marchant has also the split-dial feature mentioned above.
Some special results have been obtained by mounting two Mar-
chants together, the result being called a twin Marchant. Both
machines can be driven separately, can be turned together in the
same direction, or can be turned in opposite directions. An
expression of the form ab/c can be evaluated in one operation.
Twin machines have been applied to military rectangular-
coordinate survey work and to the interpolation of pairs of
double-entry tables.
142 COMPUTING SYSTEMS
8-5-4. Monroe. Some models of the Monroe Calculator
have an automatic feature which makes it possible to form
2a2 with a single setting of the values a. Some older models
of the Monroe incorporate automatic short cutting.
Another useful feature of the Monroe is the ability to call a
stored constant multiplier at will instead of setting it when
required. This characteristic is useful for computing expressions
such as Kx + y where x and y are variables and K is a constant.
The storage of this constant in no way limits the use of the key-
board for other operations. By use of a special short cut a con-
stant dividend may also be stored.
The product abc can be taken very easily on some Monroe
machines by using a transfer switch which transfers a number
from the product register to the keyboard. This transfer facility
is also useful in computing such expressions as ab/c.
Models are available with split dials. This feature enables
the operator to operate on either half of the dial or on both halves
and to clear either half as desired.
In normal operation the Monroe Calculators add digits at the
rate of about 650 per minute.
8-5-5. Remington Rand. Remington Rand manufactures
two printing calculators, one with a 13-column list, or keyboard,
and 14-column total, and one with a 10-column list and 10-column
total. The principal advantage in these calculators is their
provision for printing all steps in the basic arithmetic operations.
The unit operation time, including that for introducing the
problem and for printing, compares favorably with other com-
mercial calculating machines which do not have the printing
feature. The 13-column model provides a special feature for
short-cut multiplication by which it is possible to use comple-
ments on 9's for digits of the multiplier greater than five. The
provision for printing all factors in an arithmetic operation and
the result of the operation provides a valuable means by which a
check on the individual steps in any calculation, or series of
calculations, may be obtained for a permanent record.
8-6. Summary
The desk calculator is a machine which will produce products,
quotients, sums, and differences of numbers quickly and con-
veniently. It will handle augends, minuends, products, divi-
DESK CALCULATORS 143
dends, sums, and differences to a capacity of about 20 digits,
and multipliers, multiplicands, addends, subtrahends, divisors,
and quotients up to a capacity of 10 digits. Such a machine in
the hands of a competent operator can produce 400 full-length
products or 1,000 sums during an 8-hour working day. The
desk calculator is an economical method for performing com-
putations of this order of magnitude. Its speed is low enough to
permit continuous exercise of judgment by the operator.
Information concerning desk calculators is readily available
from the manufacturers. In addition, the following publica-
tions1-6 are noted as pertaining to the general characteristics
and applications of these machines.
REFERENCES
1. Comrie, L. J., The Application of Commercial Calculating Machines to
Scientific Computing, Mathematical Tables and Other Aids to Computa-
tion, Vol. II, No. 16, pp. 149-159 (October, 1946).
2. Hutchinson's Technical and Scientific Encyclopedia, Calculating
Machines, Vol. I (The Macmillan Company, New York, 1936), pp. 315-
319.
3. Marchant Calculating Machine Company, Marchant Methods, Index of
Marchant Methods and Tables Issued to Nov. 1946 Relating to Basic and
Statistical Mathematics, MM-229 Mathematics (Marchant Calculating
Machine Company, Oakland, Calif., 1946).
The following titles of methods applicable to the Marchant Calculator
have been abstracted from this reference to indicate the range of useful-
ness of desk calculators:
a. Roots and Powers:
MM-88 Approximation Method for Extraction of Any Root
MM-95 Square Root by Successive Odd Numbers
MM-222 Fifth Root to 5 Places
MM-302 Square Root by Iteration from Slide-Rule Approximation
Table 68 Cube Root to 5 Places, with Extension to 9 Places
b. Algebraic Equations:
MM-182 A Short Method of Evaluating Determinants and Solving
Systems of Linear Equations with Real or Complex
Coefficients, by Prescott D. Crout, Ph.D.
MM-183 Notes on Marchant Calculator Application to the Crout
Method of Solving Simultaneous Equations (see MM-182)
MM-225 Birge-Vieta Method of Finding a Real Root of Rational
Integral Function
MM-226 Setting up an Approximating Polynomial of Degree "n"
from Equidistant Tabulated Values of a Function
144 COMPUTING SYSTEMS
MM-235 The Nogrady Method of Solving Cubic Equations
MM-289 Evaluation of a Polynomial
c. Interpolation:
MM-64 Direct Curvilinear Interpolation with Lagrange Coeffi-
cients
MM-152 Direct Curvilinear Interpolation, Assuming Constant
Second Differences
MM-189 Direct Interpolation — Straight-Line and Curvilinear
MM-209 Curvilinear Interpolation with Unequal Intervals of
Argument. ("Divided difference" method using
Lagrange-Newton formula.)
MM-220 Inverse Curvilinear Interpolation — Short-Cut Method
Includes Effect of 2nd Differences Only. (Using BessePs
central-difference formula).
MM-221 Inverse Curvilinear Interpolation and Finding of Roots
of Tabulated Function. (The Comrie "two-calculator"
method, using Bessel's central-difference formula.)
MM-228 7-Place Lagrange 5-Point Interpolation Coefficients for
Values of P from 0 to 2, with Argument to 0.001
MM-317 The A. C. Aitken Method of Curvilinear Interpolation.
(For equal or unequal intervals of the argument.)
d. Numerical Integration and Solution of Differential Equations:
MM-167 Moment of Inertia of Sections Composed of Rectangular
Areas. (A systematic work sheet for computing the
constants of structural shapes.)
MM-215 Area below Curve for Fractional Portion of Distance
between Equidistant Ordinates.
MM-216 Milne Method of Integration of Ordinary Differential
Equations. (Complete explanation and systematic work
sheets for this popular method. Includes much hereto-
fore unpublished information.)
e. Statistical Method, and Least Squares:
MM-45 Pearson Correlation Coefficient. (With formula espe-
cially adapted to calculator computation.)
MM-119 Linear "Least Squares" Line of Regression and Coeffi-
cient of Regression
MM-242 Summations of X, XY, and IF2. (A special simplified
method.)
MM-245 Hansen- Ahlberg Method of Extending Parabolic Curves.
(A method based upon constant second differences for
rapidly extrapolating any second-degree function.)
MM-314 Summations for Linear Multiple Correlation
4. Meyer, zur Capellen, W., Mathematische Instrumente (Becker and Erler
Kom.-Ges., Leipzig, 1944; lithoprinted by Edwards Bros., Inc., Ann
Arbor, Mich., 1947), pp. 53-131.
DESK CALCULATORS 145
5. Murray, F. J., The Theory of Mathematical Machines (King's Crown Press,
New York, 1947).
6. Office Machines Research, Inc., American Office Machines Research Service
(The Office Machines Research, Inc., New York, 1938-1939). Three
binders: Adding and Subtracting, Index 3.0, Binder II. Listing Adding
Machines, Index 3.2; Single Register Listing Adding Machines, Index
3.21; Multiplying and Dividing, Index 4.0; Calculating Machines, Index
4.3; Binder III. (This service is no longer available in the United States.
Further information on the above subjects may be obtained from the
International Office Machines Research Corp., Amsterdam, Holland.)
CHAPTER 9
PUNCHED-CARD COMPUTING SYSTEMS
9-1. Introduction
These systems of computation make use of commercially avail-
able punched-card processing equipment. Business operations
with such equipment are well known and have been developed
extensively in Great Britain and in the United States over the
past 50 years. The punched card now in use is an adaptation
of the card originally conceived by Hollerith, who, as early as
1889, described tabulating machinery for the punched-card
processing of statistical data.
Since the punched-card equipment and its use on scientific
problems have been described adequately elsewhere, it is the pur-
pose of this chapter to present merely an outline of a calculating
system using punched cards. Although punched-card machinery
was primarily developed for business accounting applications, it
has been successfully utilized, without major alteration, in
extensive computations of a scientific and statistical nature.
For scientific calculations, a group of four or five standard busi-
ness equipments, performing different functions, are usually
operated as a computing unit.
There are several advantages to be gained through the use of
punched-card equipment in scientific work. In the first place,
for many extensive calculations to which it may be applied, this
type of equipment provides a speed in excess of that attainable
with desk calculating machines. Second, greatly increased
accuracy may be attained through the automatic operation with
punched-card equipment, even in those computations where the
speed is comparable to that of a desk calculator.
The increased accuracy attainable with punched-card equip-
ment stems principally from three sources. First, there is the
possibility of automatic transcription of results into tabular
form. Where a lengthy transcription is required, it is possible
with punched-card equipment to print tables which can be
146
PUNCHED-CARD COMPUTING SYSTEMS 147
reproduced by a photo-offset process without any intermediate
manual duplication. This operation greatly diminishes the
possibility of making a printing error which may go undetected
in normal proofreading. Such a system of duplication is now
standard with many punched-card installations and has been
used extensively in the computation and tabulation of mathe-
matical functions.
A second source of increased accuracy in computations made by
punched-card machinery lies in the fact that its automatic opera-
tion does not weary of tedious iteration. The lessened depend-
ence on the alertness of the operator is a considerable factor in
increasing the reliability of the results even though the computa-
tions on punched-card machinery may be performed no faster
than on a desk calculator.
A final source of increased accuracy by punched-card devices
lies in the possibility of including automatic checking features
which are far more reliable than a human proofreader. Use of
these devices enables vast reduction in the probability of machine
error, and in many cases checking equipment may be used in the
same way to reduce the probability of undetected operator error.
In the United States there are two principal manufacturers
of punched-card equipment: International Business Machines
Corporation and Remington Rand, Incorporated. Descriptions
of the equipment now available and the equipments planned for
the immediate future are available from these companies;
detailed suggestions and instructions concerning the efficient
use of machines built by these companies may be obtained from
them on request. For scientific computations, at least, installa-
tions of International Business Machines Corporation equip-
ment seem more numerous than those of Remington Rand equip-
ment. The description of machines in this chapter will therefore
concern itself largely with IBM equipment. Comparable
punched-card equipment of the Remington Rand type will
also be described where it appears that it may be applied to
scientific calculations. It should be noted that it is not the
intention of this chapter to provide a sufficient description of
any commercial piece of equipment to suggest its acquisition by
any activity.
The description of punched-card equipment given here is
included for several reasons. One reason is the desire to assist
148 COMPUTING SYSTEMS
projects, faced with computing problems, in avoiding undue
investment in needlessly complicated computing equipment
because of the lack of information concerning the potentialities
of punched-card equipment. Second, the manner in which
punched-card machinery permits increasing automatic computa-
tion is useful in connection with the study of more extensive
computing equipment. An examination of the methods of
computation already developed for punched-card equipment
might be instructive to many activities, even though their com-
puting problems are too extensive for adequate treatment by
these machines. Finally, it is of interest to note the develop-
ment of techniques for the utilization of this automatic equip-
ment in computations. The ingenuity which has been exercised
by the various workers in formulating methods with which their
problems can be treated on this machinery, and the publication
of these methods in the ordinary scientific literature, may indicate
that true radical advances in the computing art might follow
the acquisition of equipment which is somewhat less powerful
than seems necessary at first glance.
9-2. The Punched Card
The primary unit for the automatic operation of these cal-
culating equipments is the punched card. The IBM and the
Remington Rand machines operate on punched cards of the same
size, 3.250 inches by 7.375 inches, and the same thickness, 0.0067
inch. Generally one corner is cut to facilitate card handling,
matching, filing, etc. The IBM and Remington Rand cards do
not store the same quantity of numerical and/or alphabetical
information; there is also a different distribution of fields and
zones on each type of card. It is important to point out here,
however, that both IBM and Remington Rand manufacture
devices for transcribing data from one type of card to the other.
9-2-1. The IBM Card. The IBM card has 80 vertical col-
umns each with 12 punching positions. The 10 lower positions
are assigned to the digits 0 to 9; the top two positions designated
x and y, or more commonly referred to as 11 and 12 holes, are used
for special coding, such as the indication of negative numbers or,
in combination with one of the digits 1 to 9, for alphabetical
representation. For use in specific calculations, a card may be
divided into sections, or groups of columns, known as fields;
PUNCHED-CARD COMPUTING SYSTEMS
149
this defines that portion of the card in which information of a
certain kind will always appear. In one type of computation,
for example, the 80 columns were divided into eight groups of 10;
each of these groups in turn was subdivided into one column and
three groups of three columns.
The 80 columns are usually punched and read independently,
each punched column denoting one digit, one letter of the alpha-
bet, or a special character such as the algebraic sign of a number.
For numerical representation, one perforation is required for each
digit. For alphabetical representation, two perforations in a
single column are used for each letter; one of these is a zone
punch (0, 11, or 12) while the other perforation is made in the
position identifying one of the digits 1 to 9. Table 9-1 illustrates
the coding used to represent the alphabet on the IBM card.
Table 9-1
\ Zone
\
11
12
0
Digit\
1
A
J
2
B
K
s
3
C
L
T
4
D
M
U
5
E
N
V
6
F
0
W
7
G
P
X
8
H
Q
Y
9
I
R
Z
Note that the (0,1) position is not used for the alphabet and is
therefore available for special coding.
All IBM computing equipment is capable of operating on data
in punched cards. Some machines, however, can also handle
data represented as graphite deposits on cards. These marked
cards are of different capacity and design but are not radically
different functionally. Both sides of a marked card are available
for storage with 27 columns of information per side.
The punched card is the fundamental unit of any IBM auto-
matic computation system. Numbers computed in the course
of a computation are punched on a card for further use, for trans-
fer from one unit to another, or for storage. The cost of these
150 COMPUTING SYSTEMS
cards is about $1 per 1,000; the cards used as interim storage
or as a transfer medium in the course of a computation are not
generally used again.
The face of the card may be printed to facilitate identification
by visual reading. Some punch equipments print on the card
the information which has been punched there; the printed
characters usually lie above the column in which the information
is punched. Additional equipment is also available for reading
information punched on a card by other equipment and for
printing some of this information at the edge of the card. Thus,
the cards may serve as stencils with no further use of the auto-
matic equipment. This card function is frequently of double
convenience, for the stencils are compact, stiff, and easily stored,
and they can be automatically reproduced on standard machines.
One of the early uses of punched cards as stencils was that by
J. D. Elder; he revised and extended the factor stencils originally
prepared by D. N. Lehmer3 and punched the results on cards.
This publication is out of print, but copies of the stencils can be
prepared quickly and easily by means of a reproducing punch.
9-2-2. Remington Rand Card. The Remington Rand Card
has 90 vertical columns each with six punching positions. The
card is divided into an upper and lower section, each section
extending across the length of the card. There are 45 columns
and six rows in each section; this is an adaptation of the Powers
card which originally contained a total of 45 columns. The
Remington Rand equipment will operate on cards with a capacity
of 45 columns or 90 columns. Each column of the card is headed
by a 0 position, the five positions vertically beneath this repre-
senting, respectively, (1,2), (3,4), (5,6), (7,8), and 9. The odd
numbers and 0 are represented by a single punch; the even
numbers are represented by a two-hole punch in each column,
one punch in the hole for the even number, the other in the nine
position. For representing the alphabet, a two- or three-hole
punch is required.
This card is the basic unit for the operation of Remington Rand
equipment.
9-3. Input
Data are introduced to punched cards through a manually
operated punch with a keyboard similar to that of a typewriter.
PUNCHED-CARD COMPUTING SYSTEMS 151
This keyboard actuates a mechanism which translates a number,
letter, or other code into the proper punched designation on
the card. For the alphabet, a single key may operate a triple
punch simultaneously.
Data may also be introduced to cards by automatic transcrip-
tion equipment or by punches operating from control panel or
plugboard instructions.
9-3-1. IBM Input. Data may be introduced to IBM cards
by means of a manually operated punch, a tape-reading punch,
or special equipment for automatically transcribing data on
cards. Many models of manual punches are available. These
punches may produce double punches for alphabetical informa-
tion from a single stroke on a keyboard; they may print punched
information at the top of the column; they may provide for
automatic reproduction of punched cards. The larger punches
have many other attachments to provide automatic aids to
accuracy and convenience, such as tabulating stops, skip bars,
automatic ejection and feed, etc.
The tape reader automatically reads punched tape (like tele-
type tape) and transcribes the data represented by the holes in
the tape to a deck of cards. Other equipment can perform the
reverse operation, reading the holes punched in the cards and
producing a tape on which the same data are represented.
With regard to input equipments, it may be of interest to
note that the International Business Machines Corporation has
designed and installed special equipment to read wind-tunnel
data directly from various gauges and to transcribe these data on
card punches. No standard equipment to accomplish this,
however, has been advertised as yet.
The existence of the Electric Punched Hole Verifier should be
noted in connection with punch equipment. This device provides
automatic detection of variation of entering information by sepa-
rate operators. The original punched cards are set on the
machine, and the verifier operator, reading data from the punched
source, introduces these data to a keyboard similar to that on the
punch. If the punching in a card column does not agree with the
key struck on the verifier, an error light is illuminated, and oper-
ation of the verifier is automatically stopped. If there are no
errors, the verifier card is ejected and stacked. The verifier may
be used to verify either alphabetical or numerical punches.
152 COMPUTING SYSTEMS
The manually operated punches and the verifier operate at
typewriter speeds; manual punches with automatic reproducing
attachments operate at about 10 columns per second. The tape
reader operates at about 8 columns per second. Normally,
manual punching of numerical data from clear manuscript may
be carried out by an experienced operator at the rate of 125 cards
per hour with 80 punches per card.
9-3-2. Remington Rand Input. The Remington Rand equip-
ment for the input of data is similar in character to the IBM
input equipment. A typical input mechanism manufactured by
Remington Rand is the 90-column Alphabetical Punch, which
introduces both alphabetical and numerical information on a
card. With this punch, a verifying attachment is available for
preparing the punched cards for mechanical verification. The
90-column Alphabetical Punch may include an attachment for
serial numbering of each card which has passed through the
machine. The serial number is printed along the left edge of
the card; a counter on the front of the machine indicates the
number of cards punched or stamped.
The punch equipment for data input is manually operated and
operates at typewriter speeds. Other equipments, such as the
Summary Card Punch, the Reproducing Punch, and the Syn-
chro-Matic Punch, operate at speeds above that of a typewriter.
Their function is to read automatically data punched on cards
in order to punch these data on other cards or to print them on
paper tape.
It is interesting to note that the Remington Rand punches
contain an electrical link from the keyboard to the characters on
the carriage. This is the only such linkage in the Remington
Rand equipment. All verifying, reading, arithmetic operations,
and printing in the Remington Rand equipment are actuated by
mechanically sensing the card coding. This is claimed to be an
advantage in favor of accuracy. The mechanical nature of these
operations, however, prevents the use of orders presented to the
machine by electrical plugboard connections, a function which
gives the IBM equipment its wide application and flexibility.
For introducing numerical data and various special orders, the
use of punched tape, employed by IBM, has made that com-
pany's equipment more readily adaptable to certain types of
scientific calculation.
PUNCHED-CARD COMPUTING SYSTEMS
153
9-4. Machines for Punched -card Computations
Machines for performing punched-card computations are
capable of carrying out the following operations: counting, sort-
ing, consulting tables, addition, subtraction, multiplication,
division, and the printing of results. A large number of com-
putational techniques have been developed to utilize these opera-
tions. The development of these techniques has, for example,
enabled such operations as multiplication to be carried out on
machines that are not advertised as multipliers. All the opera-
tions enumerated above can be performed on IBM and on
Remington Rand equipments. IBM equipments have been,
in general, much more widely used on scientific calculation.
9-4-1. IBM Machines. The principal IBM equipments
useful in performing scientific calculations are the Sorter, the
Collator, the Tabulator, the Electric Multiplier, and the Cal-
culating Punch. These machines usually form a calculating
unit when they are used together for scientific work. Table 9-2
is presented as an outline of the operations which can be per-
formed on each of these machines. Detailed information
Table 9-2
IBM machine
Count
Sort
Consult
tables
Add
Subtract
Multiply
Divide
Sorter
X
X
X
Collator
X
X
Tabulator
X
X
X
Electric Mul-
tiplier
X
X
X
Calculating
Punch
X
X
X
X
Electronic
Calculating
Punch
X
X
X
X
X
concerning these operations is available in published form.1
In addition, the utilization of this equipment to carry out prob-
154 COMPUTING SYSTEMS
lems in scientific computing is described in many papers; a
bibliography of some principal papers in English concerning
the use of IBM machines in scientific research, statistics, and
education has been published by the International Business
Machines Corporation; it is available from them. With their
permission, the sections entitled Scientific Research and Statis-
tics are included in the Bibliography at the end of this chapter.
For convenience, a brief description of the machines and of the
operations will be given here in condensed form.
The Sorter. The electric punched-card sorting machine is a
machine which separates cards into 13 pockets depending upon
the character punched in a chosen column. For normal numeri-
cal sorts, one of the 12 pockets receives cards appropriate to
one of 12 different punches, and the 13th receives cards with no
punch at all in the chosen column. Cards already sorted on
one column can be stacked together and resorted on another
column so that, finally, a deck of cards can be ordered in accord-
ance with numbers punched across several columns. If a column
contains two or more punches, the Sorter normally selects in
accordance with the punch lowest on the card in this column.
However, it is possible to disable readers at any chosen level;
by this means alphabetical sorting is easily brought about on two
runs per column through the sorter. The sorter can be procured
with 15 counters attached, so that the number of punches
detected in each of the 12 column positions, the number of cards
unpunched in the chosen column, a total, and a subtotal can be
automatically counted. Counting may be done without sorting,
if desired. Sorting can be performed at the rate of 450 cards per
column per minute; the newest machines operate at 650.
The Electric Punched-card Collator. This machine is designed
to carry out somewhat more complicated rearrangements of
cards than the sorter. It is particularly useful in connection
with consulting tables of functions. The machine has two feeds
and four output pockets. It achieves a considerable versatility
in its disposition of the cards from the two input decks to the
output pockets by virtue of a removable plugboard into which
plug wires are manually inserted to provide the desired opera-
tions. The operation of the machine depends upon comparison
of the information read from three cards. The two leading cards
from one feed and the one leading card from the other are read
PUNCHED-CARD COMPUTING SYSTEMS 155
simultaneously. Comparison circuits permit identification of
several cases of relative order of the cards, and the various cases
set off driving mechanisms to advance the cards from one of the
two feeds, channeling the most advanced card from this feed into
one of the four output pockets. As an example, a sorted set of
arguments could be introduced to one feed and a function table
(containing cards for arguments including those in the sorted
set, this function table sorted according to argument) could be
introduced in the other. The four pockets could be assigned to:
1. Functional-value cards corresponding to arguments appear-
ing in the first deck.
2. Functional-value cards corresponding to arguments not
appearing in the first deck.
3. Cards from the first deck for which functional values were
found.
4. Cards in the first deck for which no functional values were
found.
(The fourth output pocket would contain cards which might have
been misplaced in the original sorting process, for which the cards
from the functional deck have been lost or otherwise removed,
etc.) In a later operation the Collator can be used to merge the
separated decks into their original orders.
The Collator works at a speed of about 240 operations per
minute. Each operation may involve the transfer of one or two
cards, or none, to an output pocket, depending upon its nature.
Almost all Collator operations are on decks which have already
been sorted and which are to be dealt into the four pockets with
some merging or separation but with no further reordering.
The Tabulator. There are several types of tabulators, of which
a standard useful model is the Type 416 Electric Punched Card
Accounting machine. The company describes this machine
as a combination adding, subtracting, and printing machine.
Control of the Tabulator is flexible. It is brought about through
wiring set on a removable plugboard.
The input to the Tabulator is from a single feed with reading
stations examining the two most advanced cards simultaneously.
There are two reading stations: the control station and the arith-
metic reading station. The control station causes the device
to carry out automatically various arithmetical or printing opera-
156 COMPUTING SYSTEMS
tions, such as addition, subtraction, clearing, and printing. The
arithmetical operations are all based on addition; access to the
adding counters is only through the more advanced reading
brush.
The Tabulator, through its provision for automatic printing,
is one of the most valuable of all the IBM devices for automatic
computation. As pointed out earlier, the possibility of printing
the output of a computation without any manual intervention is
an important step in increasing the reliability of the output. It
has become standard practice at many places to photograph auto-
matically printed numbers for photo-offset printing to avoid
typesetting errors.
The output of the Tabulator can be punched on another deck
of cards through use of the summary punch. Rearrangement of
data on summary cards is possible by virtue of a plugboard on
the punch.
The Tabulator operates at a speed of 9,000 cards per hour
while tabulating or listing. If its output is to be punched on
another deck of cards, the operation is delayed by about 1.2
seconds per card punched.
The Electric Multiplier. This machine multiplies numbers
punched on cards and punches the products. One factor is
always derived from an individual card, and the other may be
obtained either from a different field on the same card or from
master cards containing group multipliers. The machine will
accept eight-digit multiplicands and multipliers and produce
products up to and including 16 digits. The Electric Multiplier
contains a summary counter which will accumulate a 16-digit
summary of products.
The machine is available in a model which will add and sub-
tract as many as three numbers punched on the same card. Two
of these numbers may each contain 12 digits; the third may
contain as many as eight digits. Some slightly more compli-
cated operations can be performed combining addition with
multiplication.
The speed of the machine depends on the number of digits in
the multiplier. Ten-digit products of two eight-digit factors
can be accumulated at the rate of 870 per hour; if they are
punched, however, the rate is slowed to 730 per hour. For the
subtracting function, the speed is about 1,000 cards per hour.
PUNCHED-CARD COMPUTING SYSTEMS 157
The Calculating Punch. The calculating punch will multiply,
divide, add, and subtract. It is capable also of carrying out a
short sequence of operations automatically. The machine will
multiply two 10-digit factors to yield a 19-digit product. It will
accept a 20-digit dividend and a 10-digit divisor to yield a 10-digit
quotient. The possibilities of combining operations in this
machine are fairly great. The speed is controlled mainly by the
time of punching; it also depends upon the size of the numbers
involved. Twenty-digit products may be computed at the
rate of 1,000 per hour. Division speed is considerably less than
this; for a five-digit quotient, the speed is approximately 540
cards per hour. There are two calculating punches, the Type
602 and the Type 602A. The statements made above apply to
both machines, but the 602A is a little more versatile.
The Electronic Calculating Punch. During the early part of
1948 the availability of the IBM Electronic Calculating Punch,
Type 604, was announced. This machine performs all the
basic arithmetic operations by electronic methods. The numer-
ical instructions to the machine are read from IBM cards;
the results of the calculations are punched automatically on
cards. The Type 604 is much faster and is a more versatile
machine than the Calculating Punch, Type 602. It is faster than
the 602 A but not more versatile.
The Electronic Calculating Punch is a combination of two
separate units, a punching unit similar to an IBM Gang Punch
and an electronic unit for performing the arithmetic operations.
The punch receives operating instructions from two control
panels; these panels control factor reading, result punching,
checking, and gang punching. The electronic calculating unit
has one control panel for instructions relating to the type of
arithmetic operation to be performed and to the transfer of
numbers from one storage unit to another.
The Type 604 can perform 60 program steps, or operations,
per card; a program step includes any one of the four arithmetic
operations, or a number transfer. The time usually allotted
to a group of program steps is about 80 milliseconds; this is the
time required for a card to pass from the first reading station to
the punching station.
Numerical information read from cards may be held in the
machine for as many arithmetic operations as may be required.
158
COMPUTING SYSTEMS
For example, a constant factor may be stored in either the factor
or the general storage for successive use. For calculating, the
machine has a reading capacity of 21 digits per card. Since the
capacity of the electronic part of Type 604 is 50 digits, the total
number of digits available for punching is restricted to 29.
It is possible to increase the reading capacity of the machine to
37 digits if the number of digits to be punched is reduced to 13.
Group operations of arithmetic processes may be performed
with the Type 604; numerical factors may be accumulated from a
group of cards and the final results punched on the last card of a
group. Data may also be gang-punched on cards at the same
time as results of arithmetic calculations are punched on the card.
Numerical calculations and the punching of data on cards are
automatically checked by the machine.
9-4-2. Remington Rand Machines. The principal Remington
Rand machines useful in performing scientific calculations are
the Sorter, the Interfiling Reproducing Punch, the Tabulator,
and the Printing Multiplier Punch. These machines all operate
on a mechanical basis; the sensing mechanism is not a brush
contact but is an actual mechanical contact. Table 9-3 repre-
sents the distribution of functions among the several Remington
Rand machines under consideration. The following is a brief
Table 9-3
Remington
Rand Machine
Count
Sort
Consult
tables
Add
Subtract
Multiply
Divide
Sorter
X
X
Interfiling Re-
producing
Punch
X
X
Tabulator
X
X
X
Printing Mul-
tiplier Punch
X
X
X
X
description of each of the machines listed in the table above:
The Sorter. The Sorter mechanically selects and arranges
cards in any required order. The cards may be selected and
sorted into 12 receiving magazines. This selection is made by
PUNCHED-CARD COMPUTING SYSTEMS 159
using 12 selecting pins, one each for the 12 positions of the
column. Each of the 12 receiving magazines has an individual
counter with a capacity of 9,999. In addition, the sorter has a
total counting register which counts the number of cards going
into all the receiving magazines. The speed of the counting
sorter is 420 cards per minute for 45-column cards, or 250 cards
per minute for 90-column cards. Each receiving magazine has
a capacity of 350 to 375 cards and the total feeding-magazine
capacity is 600 cards.
The Interfiling Reproducing Punch. The function of this
machine is to feed two files of cards from two feeding magazines
so as to (1) compare the two files, (2) punch the cards fed by the
lower magazine subject to an established comparison with the
cards in the upper feeding magazine, and (3) interfile selected
cards from both files and segregate certain of the cards from both
files according to an established comparison. There are four
card-feeding magazines, two upper feeding magazines for pattern
cards and two lower feeding magazines for cards to be punched.
There are five card-receiving magazines, two upper magazines
for the segregation of cards from the upper feeding magazine
and two lower receiving magazines for segregating the cards
from the lower feeding magazine. A third lower magazine is
used for the interfiling of cards fed from both the upper and lower
feeding magazines.
The speed of operation of the Interfiling Reproducing Punch
is 100 cards per minute. Each feeding magazine has a capacity
of 600 cards; each receiving magazine has a capacity of 750
cards.
The Tabulator. The principal function of the Tabulator is to
translate and print numerical and alphabetical information
punched in tabulating cards. The Model 3 90-column Tabulator
will perform automatically the operations of addition, subtrac-
tion, and printing; it will also produce totals and/or grand totals.
Its operation is fully automatic once the cards are inserted into
the feeding mechanism. Although there are a number of models
in manufacture, probably the one of interest scientifically is the
Type 3100 Alphabetic Tabulator which has 100 printing sectors:
50 sectors each equipped with 10 numerical characters and 26
alphabetical characters, and 50 sectors each equipped to print 10
numerical characters only. Such tabulators will operate at
160 COMPUTING SYSTEMS
100 cards per minute and have a feeding-magazine capacity of
625 cards and a receiving-magazine capacity of 850 cards.
Data are printed on a standard 20-inch carriage, the 100 sectors
occupying a length of about 15% inches across the sheet.
The Printing Multiplier Punch. This machine is capable of
performing addition, subtraction, multiplication, and division
with a capacity for printing totals of all products up to 14 digits.
This machine has a capacity for either 45 or 90 columns inter-
changeably; results are printed on paper tape or may be punched
on cards. The punch is also equipped with both automatic and
manual control. A keyboard allows an operator to set up
manually one or both factors which are to be handled arith-
metically or whose results are to be punched on cards or printed
on the recording tape. The use of wiring units provides the
machine with flexibility in setting up various types of problems.
With this punch, it is, possible to print and punch information
on a summary card, to print progressive and final totals, and to
interject amounts to be subtracted from these totals or added to
them with a printed registration of these operations being made.
The speed of the machine for six-by-six-digit multiplication is
1,200 calculations per hour. The product capacity is 12 digits,
and the total capacity for printing is 14 digits per row.
9-5. Computational Operations on IBM Machines
On page 153, a table showing which IBM machines could be
used to carry out each of seven basic operations was presented,
and a brief description of these machines followed. Thus, Sec.
9-4-1 analyzed Table 9-2 more or less horizontally. This
section will give an equally brief outline of the table vertically,
according to the operations. IBM equipments will be discussed
here to illustrate these operations.
9-5-1. Counting. The number of cards in which chosen
punches appear in a particular column can most rapidly be deter-
mined by running the cards through an ordinary counting sorter.
For this the sorter would be set to retain the cards in their
original order, and the 15 counter dials would give the number
of cards for which each of 12 possible punches was detected, the
number for which no punch was detected, the subtotal, and the
total. The tabulator in the larger machines can be wired to
PUNCHED-CARD COMPUTING SYSTEMS 161
count, but this operation is uneconomical in time and in the use
of expensive machinery.
9-5-2. Sorting. The most rapid and convenient sorting of a
badly disarranged deck is brought about through the use of the
Sorter. In this device sorting is performed one column at a
time at the rate of 450 cards per column per minute. A sort
can be made on a number of digits by repeated use of this device.
To do this, the initial sort is made on the lowest ranking digit.
The cards are gathered from the pockets and stacked in order;
they are then re-sorted on the next lowest ranking digit, etc.
Thus, if 1,000 numbers from 000 through 999 were to be put in
order with the lowest numbered card on top, the following
sequence of operations would be carried out:
1. Sort on the right-hand column and gather the cards with
those in the zero pocket on top, those in the one pocket
next, etc.
2. Re-sort from the middle column and gather the cards with
those in the zero pocket on top, the one pocket next, etc.
3. Sort on the left column and gather the cards with those in
the zero pocket on top, the one pocket next, etc.
This completes the sort. The total sorting time will have been
6% minutes for the three passages of 1,000 cards at the rate of
450 cards per minute. For decks which are partially sorted,
or for the merging of two sorted decks into a single deck in order,
the Collator may be more efficient than the Sorter. The condi-
tions under which efficient sorts can be made on the Collator are
fairly apparent from the specifications on the machine, and no
guidance to its use more than a familiarity with its operations
seems necessary.
Block sorting can be performed on the highest digit if sorting
above a given digit is required. In this case, time is saved over
the lowest digit sort, since there are fewer cards involved in the
sorting operation.
9-5-3. Table Consulting. To consult tables, the easiest
procedure is to insert two sorted decks into the Collator. This
procedure has already been outlined on pages 154-155 under the
Electric Punched-card Collator. The Sorter, also, can be used
for consulting tables.
102 COMPUTING SYSTEMS
9-5-4. Addition and Subtraction. Addition and subtraction
are most economically carried out on the Tabulator, except
where combined with multiplication or division or where results
are recorded on the same card. In this case, the Calculating
Punch may be profitably used. In this operation the Tabulator
is a fairly versatile machine and is even capable of carrying out
some multiplications efficiently. A simple automatic control
program can be introduced through the control brushes of the
tabulator, using either special control cards merged into the
final deck through a Collator or the information on the original
deck.
9-5-5. Multiplication. Except for a few simple programs in
multiplication which can be carried out effectively on the Tabu-
lator, multiplication requires the use of either the Electric
Multiplier or the Calculating Punch. In these devices the
computation is carried out straightforwardly as described in
connection with the descriptions of the machines.
9-5-6. Division. Division must be carried out on the Cal-
culating Punch unless a method of successive approximation is
used. Various schemes of obtaining the reciprocal of a number
without actually dividing may be applied to other machines.
These schemes vary from table consulting, which may be carried
out on the Collator, to use of a successive approximation by a
method described in Chap. 7, which involves a somewhat similar
table of reciprocals combined with a multiplication operation.
Thus, it is true that well-equipped punched-card-machinery
installations which do not contain a Calculating Punch may still
carry out efficiently those computations involving division.
9-6. Transcription Devices
Transcription of results for reuse in other machines is brought
about through reproducing or summary punches of various
kinds. The use of the summary punch with the Tabulator has
already been described above. Other punches permit rapid
reproduction of a deck of cards with modification in the position
of the punched information, with insertion of gang-punched
information, representing several specific functions of these
punches. One device, the Type 513 Electric Card Reproducing
Punch, can be used as a gang punch, a reproducing punch, and
PUNCHED-CARD COMPUTING SYSTEMS 163
as a summary punch. Through temporary wiring on a
standard plugboard, considerable rerouting of information is
possible in this machine, together with enough rearrangement
during the data transcription to permit efficient reentry into the
other calculating equipments.
This punch operates at a fixed speed of 100 cards per minute
for reproducing and gang-punching operations. Summary
punching from an accounting machine requires 1.2 seconds per
card.
This machine contains a comparing feature which provides
assurance that the punched card agrees with the original from
which it was punched.
Other transcription machinery includes ordinary manual
punches with duplicating attachments. These will reproduce a
card already punched using the same equipment that is used in
the manual punching. Some of these machines type the punched
information across the top of the card for easy visual reading;
this is a service which is not provided by the ordinary reproducing
punch. On the other hand, their operation is much slower than
the reproducing punch described earlier.
The information punched on a card can be printed across
the edge of the card by means of punched-card interpreters.
Numeric machines will print the information, punched in any
four to five columns, at the rate of 4,500 cards per hour. Another
machine will print 60 characters, either numerical or alphabetical,
at the rate of 3,600 cards per hour.
Other transcription devices have already been mentioned.
These include the printing tabulator and the machines for tran-
scribing information on tape.
9-7. Acquisition of Equipment
Machines for punched-card computation are available on a
lease or purchase basis from Remington Rand, Incorporated,
and on lease from, but not generally for sale by, the International
Business Machines Corporation. This corporation usually
gives particular consideration to individual problems occurring
at each proposed installation. The corporation maintains
offices in most principal cities.
For computation problems which are of too infrequent occur-
164 COMPUTING SYSTEMS
rence to justify the installation of an adequate punched-card
facility, the International Business Machines Corporation main-
tains complete machine services at several of its offices. Here
machinery is available to carry out many computations, and the
corporation accepts these on a job basis. Bids for such services
will be made by the corporation on the basis of price per cards
used.
Tables and many mathematical functions are available in
punched-card editions from several sources. Information con-
cerning these tables may be obtained from the International
Business Machines Corporation or the Watson Scientific Com-
puting Laboratory. Information concerning other published
tables of mathematical functions is available in periodical
form.3
9-8. Mathematical Operations to Which IBM Equipment Is
Applicable
The International Business Machines Corporation has listed
the following operations as typical of mathematical operations to
which the equipment has been successfully applied:
1. Construction of mathematical tables.
2. Differencing, to any order desired.
3. Interpolation, using first-, second-, and higher order
differences.
4. Numerical integration.
5. Harmonic analysis.
6. Solution of simultaneous equations.
7. Summation of series.
8. Multiplication of series.
9. Matrix and determinant calculations.
10. Method of least squares.
11. Differential equations.
12. Fourier analysis.
13. Successive approximation methods.
14. Curve fitting.
More specific information concerning actual applications
which have been made may be obtained by examining the
accompanying bibliography2 on the applications of punched-card
machinery to scientific research and statistics.
PUNCHED-CARD COMPUTING SYSTEMS 165
9-9. IBM Card-programmed Electronic Calculator
Since the foregoing sections of this chapter were written the
International Business Machines Corporation has announced
a new calculator which combines several IBM units in a sequence-
controlled machine well adapted for scientific and engineering
work.
It uses the Type 402 or the Type 417 Accounting Machine as
the master control unit and printer. The program for a cal-
culation is contained on a deck of cards which are fed into this
Accounting Machine. Each card carries an eight-digit instruc-
tion which specifies the locations in storage of the factors to be
operated upon, the operation to be performed, and the disposition
to be made of the result.
For internal storage, the calculator uses the 80 mechanical
counters with which the accounting machine is normally equipped.
A complete record of a calculation can be printed at the rate of
150 lines per minute.
Cards are used for external storage. A Calculator Punch,
Type 521, is used to prepare these cards and also to record on
cards the results of the calculations. A Supplemental Storage
Unit, Type 941, provides storage for 16 10-digit signed numbers
relayed to it from the Type 604 Electronic Calculator.
The Type 604 Electronic Calculator is used to perform the
various arithmetic operations. The manufacturer states that
additions or subtractions are performed at a speed in excess of
2,000 a second, multiplications or divisions at 86 a second, and
that any of these arithmetic operations can be combined.
The units of which this card-programmed computing system
is composed may be disconnected from each other and used
individually to perform their normal accounting operations.
REFERENCES
1. Eckert, W. J., Punched Card Methods in Scientific Computation (Thomas
J. Watson Astronomical Computing Bureau, Columbia University, 1940).
2. International Business Machines Corporation, Bibliography on the Use of
IBM Machines in Science, Statistics and Education (International Busi-
ness Machines Corporation, New York, 1950). This bibliography
consists of technical articles that describe researches in the various fields
of science, statistics, and education conducted with the aid of IBM
machines, and machine methods useful for such research. It is a revision
166 COMPUTING SYSTEMS
of The Use of IBM Machines in Scientific Research, Statistics, and Educa-
tion, which was published in 1947. Reproduction of Part A entitled
Science and Part B entitled Statistics is made with the permission of the
IBM Corporation.
3. Lehmer, D. N., Factor Stencils (Carnegie Institution of Washington,
Washington, D.C.; stencils revised and extended by J. D. Elder, 1939).
4. National Academy of Sciences, Mathematical Tables and Other Aids to
Computation. Quarterly publication of the National Research Council,
Washington, D.C.; first publication, January, 1943.
BIBLIOGRAPHY
Science
Aiken, Howard H., and Grace M. Hopper, The Automatic Sequence Con-
trolled Calculator, Electrical Engineering, Vol. 65, No. 8-9, pp. 384-391
(August-September, 1946); No. 10, pp. 449-454 (October, 1946); No. 11,
pp. 522-528 (November, 1946).
Akushsky, I. J., On Certain Schemes of the Numerical Harmonic Analysis,
Comptes Rendus (Doklady) de I'Academie des Sciences de VURSS (N.S.),
Vol. 52, pp. 471-474 (1946) (Russian).
Akushsky, I. J., The Four-Counter Scheme of Solution of Dirichlet's Prob-
lem by Means of Punched-Card Machines, Comptes Rendus (Doklady) de
I'Academie des Sciences de I'URSS (N.S.), Vol. 54, No. 8, pp. 659-662
(1946) (Russian).
Akushsky, I. J., Mathematical Tables on Punched Cards. Functions of One
Variable, Akademiia Nauk SSSR, Otdelenie Tekhnicheskikh Nauk, No. 11,
pp. 1405-1454 (1947) (Russian).
Akushsky, I. J., New Methods for the Calculation of a Sum of Products with
a Tabulator, Doklady Akademiia Nauk SSSR (N.S.), Vol. 60, No. 1, pp.
5-8 (1948) (Russian).
Akushsky, I. J., Numerical Solution of the Dirichlet Equation with the Aid
of Perforated Card Machines, Comptes Rendus (Doklady) de V Acade'mie des
Sciences de I'URSS (N.S.), Vol. 52, No. 5, pp. 375-378 (1946) (Russian).
Akushsky, I. J., On the Numerical Solution of Dirichlet Problem on Punched-
Card Machines, Comptes Rendus (Doklady) de V Academie des Sciences de
I'URSS (N.S.), Vol. 54, No. 9, pp. 755-758 (1946) (Russian).
Akushsky, I. J., The Process of Diagonal Summation on a Tabulator and
Some of Its Applications, Akademiia Nauk SSSR, Bulletin, Classe des
Sciences Techniques, No. 5, pp. 475-495 (1947) (Russian).
Akushsky, I. J., Some New Methods of Calculating Sums of Products on a
Tabulator, Akademiia Nauk SSSR, Otdelenie Tekhnicheskikh Nauk, No. 8,
pp. 1193-1228 (1948) (Russian).
Alt, Franz L., Multiplication of Matrices, Mathematical Tables and Other
Aids to Computation, Vol. 2, No. 13, pp. 12-13 (January, 1946).
Atanasoff, J. V., and A. E. Brandt, Application of Punched Card Equipment
to the Analysis of Complex Spectra, Journal of the Optical Society of
America, Vol. 26, No. 2, pp. 83-88 (February, 1936).
PUNCHED-CARD COMPUTING SYSTEMS 167
Bailar, John C, Jr., Karl F. Heumann, and Edwin J. Seiferle, The Use of
Punched Card Techniques in the Coding of Inorganic Compounds, Journal
of Chemical Education, Vol. 25, No. 3, pp. 142-143, 176 (March, 1948).
Beevers, C. A., A Machine for the Rapid Summation of Fourier Series,
Proceedings of the Physical Society (London), Vol. 51, Part 4, pp. 660-663;
discussion, pp. 664-667 (July 1, 1939).
Bell, William D., Punched Card Techniques for the Solution of Simultaneous
Equations and Other Matrix Operations, Proceedings, Scientific Computa-
tion Forum, pp. 28-31 (International Business Machines Corporation,
New York, 1948).
Bell, William D., A Simplified Punch-Card Approach to the Solution of the
Flutter Determinant, Journal of the Aeronautical Sciences, Vol. 15, No. 2,
pp. 121-122 (February, 1948).
Belzer, Jack, George Gamow, and Geoffrey Keller, Dynamics of Elliptical
Galaxies, Proceedings, Scientific Computation Forum, pp. 67-69 (Interna-
tional Business Machines Corporation, New York, 1948).
Bergman, Stefan, Construction of a Complete Set of Solutions of a Linear
Partial Differential Equation in Two Variables, by Use of Punch Card
Machines, Quarterly of Applied Mathematics, Vol. 4, No. 3, pp. 233-245
(October, 1946).
Bergman, Stefan, Punch- Card Machine Methods Applied to the Solution of
the Torsion Problem, Quarterly of Applied Mathematics, Vol. 5, No. 1,
pp. 69-81 (April, 1947).
Berkeley, Edmund C, Giant Brains, or Machines that Think (John Wiley
and Sons, Inc., New York, 1949). 270 pp.
Blanch, Gertrude, Differencing on the Type 405 Accounting Machine,
Proceedings, Scientific Computation Forum, pp. 14-22 (International Busi-
ness Machines Corporation, New York, 1948).
Bower, Ernest Clare, On Subdividing Tables, Lick Observatory Bulletin,
Vol. 16, No. 455, pp. 143-144, November, 1933.
Bower, Ernest Clare, Systematic Subdivision of Tables, Lick Observatory
Bulletin, Vol. 17, No. 467, pp. 65-74 (April, 1935).
Bramble, Clinton C, Applications of Punched Card Equipment at the Naval
Proving Ground, Proceedings, Scientific Computation Forum, pp. 99-100
(International Business Machines Corporation, New York, 1948).
Brinkley, Stuart, R., Jr., and Robert W. Smith, Jr., Calculation of the
Equilibrium Composition of Systems of Many Constituents, Proceedings,
Scientific Computation Forum, pp. 77-82 (International Business Machines
Corporation, New York, 1948).
Brouwer, Dirk, On the Accumulation of Errors in Numerical Integration,
Astronomical Journal, Vol. 46, No. 16, pp. 149-153 (October, 1937).
Brouwer, Dirk, The Reference System with a View to Planetary Dynamics,
Annals of the New York Academy of Sciences, Vol. 42, Article 2, pp. 133-149
(October 15, 1941).
Comrie, L. J., The Application of Commercial Calculating Machines to
Scientific Computing, Mathematical Tables and Other Aids to Computation,
Vol. 2, No. 16, pp. 149-159 (October, 1946).
168 COMPUTING SYSTEMS
Comrie, L. J., The Application of the Hollerith Tabulating Machine to
Brown's Tables of the Moon, Monthly Notices of the Royal Astronomical
Society, Vol. 92, No. 7, pp. 694-707 (May, 1932).
Comrie, L. J., On the Construction of Tables by Interpolation, Monthly
Notices of the Royal Astronomical Society, Vol. 88, No. 6, pp. 506-523
(April, 1928).
Comrie, L. J., Interpolation and Allied Tables, Nautical Almanac for 1937
(London).
Comrie, L. J., Recent Progress in Scientific Computing, Journal of Scientific
Instruments, Vol. 21, No. 8, pp. 129-135 (August, 1944).
Comrie, L. J., Tables for Interpolation to Tenths and Fifths by the End
Figure Process, Nautical Almanac for 1931, pp. 828-835 (London).
Cox, E. G., R. J. J. H. Gillot, and G. A. Jeffrey, The Molecular Structure
of Thiophthen from X-Ray Crystal Analysis, Acta Crystallographica, Vol.
2, Part 6, pp. 356-363 (December, 1949).
Cox, E. G., L. Gross, and G. A. Jeffrey, A Hollerith Punched-Card Method
for the Evaluation of Electron Density in Crystal Structure Analysis,
Proceedings of the Leeds Philosophical and Literary Society, Vol. 5, Part 1 ,
pp. 1-13 (December, 1947).
Cox, E. G., L. Gross, and G. A. Jeffrey, A Hollerith Technique for Comput-
ing Three- Dimensional Differential Fourier Syntheses in X-Ray Crystal-
Structure Analysis, Acta Crystallographica, Vol. 2, Part 6, pp. 351-355
(December, 1949).
Cox, E. G., L. Gross, and G. A. Jeffrey, Use of Punched Card Tabulating
Machines for Crystallographic Fourier Synthesis, Nature, Vol. 159, No.
4039, pp. 433-434 (March 29, 1947).
Culley, Frank L., Use of Accounting Machines for Mass Transformation
from Geographic to Military-Grid Coordinates, Transactions of the
American Geophysical Union (National Research Council, Washington,
D.C., November, 1942), Part 2, pp. 190-197.
Curtiss- Wright Corporation, Punched Card Method in Structural Calculations,
Report No. V-241-S-4 (Curtiss- Wright Corporation, Airplane Division,
Buffalo, N.Y., March 23, 1945).
Domb, C, On Iterative Solutions of Algebraic Equations, Proceedings of the
Cambridge Philosophical Society, Vol. 45, No. 2, pp. 237-240 (April, 1949).
Donohue, Jerry, and Verner Schomaker, The Use of Punched Cards in
Molecular Structure Determinations. III. Structure-Factor Calculations
of X-Ray Crystallography, Acta Crystallographica, Vol. 2, Part 6, pp.
344-347 (December, 1949).
Dreyer, H. J., Solution of Systems of Linear Equations by Means of Punched-
Card Machines, No. F-TS-1046-RE (Headquarters Air Materiel Com-
mand, Wright Field, Dayton, Ohio, December, 1946). 13 pp.
Duncan, David B., and John F. Kenney, On the Solution of Normal Equations
and Related Topics (Edwards Bros., Inc., Ann Arbor Mich., 1946). 35 pp.
Dunstan, Lyle A., The General Solution Method of Power Network Analysis,
American Institute of Electrical Engineers Technical Paper 48-103 (Febru-
ary, 1948). 19 pp.
Dunstan, Lyle A., Machine Computation of Power Network Performance,
PUNCHED-CARD COMPUTING SYSTEMS 169
American Institute of Electrical Engineers Technical Paper 47-87 (Decem-
ber, 1946). 33 pp.
Dwyer, Paul S., The Solution of Simultaneous Equations, Psychometrika,
Vol. 6, No. 2, pp. 101-129 (April, 1941).
Dwyer, Paul S., The Use of Tables in the Form of Prepunched Cards,
Proceedings of the Educational Research Forum; pp. 125-127 (International
Business Machines Corporation, New York, August, 1940).
Earthquake Calculations Are Made by Punched Card Machines, Engineering
News Record, Vol. 141, No. 12, p. 110 (September 16, 1948).
Eckert, W. J., Calculating Machines, Encyclopaedia Britannica, 13th Edition
(1947), Vol. 4, pp. 548-554.
Eckert, W. J., The Computation of Special Perturbations by the Punched
Card Method, Astronomical Journal, Vol. 44, No. 20, pp. 177-182
(October, 1935).
Eckert, W. J., Electronic and Electromagnetic Measuring, Computing and
Recording Devices, Centennial Symposia, December, 1946, Harvard
Observatory Monographs, No. 7, pp. 169-178 (1948).
Eckert, W. J., Electrons and Computation, Scientific Monthly, Vol. 67, No. 5,
pp. 315-323 (November, 1948).
Eckert, W. J., The IBM Pluggable Sequence Relay Calculator, Mathe-
matical Tables and Other Aids to Computation, Vol. 3, No. 23, pp. 149-161
(July, 1948).
Eckert, W. J., Punched Card Methods in Scientific Computation, (Thomas J.
Watson Astronomical Computing Bureau, Columbia University, 1940).
136 pp. (New edition in preparation.)
Eckert, W. J., Punched-Card Techniques and Their Applications to Scientific
Problems, Journal of Chemical Education, Vol. 24, No. 2, pp. 54-57, 74
(February, 1947).
Eckert, W. J., and Ralph F. Haupt, The Printing of Mathematical Tables,
Mathematical Tables and Other Aids to Computation, Vol. 2, No. 17, pp.
197-202 (January, 1947).
Feinstein, Lillian, and Martin Schwarzschild, Automatic Integration of
Linear Second-Order Differential Equations by Means of Punched Card
Machines, Review of Scientific Instruments, Vol. 12, No. 8, pp. 405-408
(August, 1941).
Fenn, George S., Programming and Using the Type 603-405 Combination
Machine in the Solution of Differential Equations, Proceedings, Scientific
Computation Forum, pp. 95-98 (International Business Machines Corpora-
tion, New York, 1948).
Ferber, Ben, Planning Engineering Calculations for IBM Equipment,
Proceedings, Scientific Computation Forum, pp. 52-53 (International Busi-
ness Machines Corporation, New York, 1948).
Ferris, Lorna, Kanardy Taylor, J. W. Perry, and Maria E. W. Torok,
Bibliography on the Uses of Punched Cards, (American Chemical Society,
Washington, D.C., 1949). 40 pp.
Fletcher, A. J., C. P. Miller, and L. Rosenhead, An Index of Mathematical
Tables (McGraw-Hill Book Company, Inc., New York, 1946). 450 pp.
Frost, Arthur A., The Approximate Solution of Schrodinger Equations by a
170 COMPUTING SYSTEMS
Least Squares Method, Journal of Chemical Physics, Vol. 10, No. 4, pp.
240-245 (April, 1942).
George, M. C, An Annotated Bibliography of Some Early Uses of Punched
Cards in Meteorology and Climatology, Bulletin of the American Meteoro-
logical Society, Vol. 26, No. 3, pp. 76-85 (March, 1945).
Gordon, Norman J., Extracting Land-Use Data from Punched Cards,
American City, Vol. 63, p. 149 (June, 1948).
Grems, M. D., and J. S. Kasper, An Improved Punched-Card Method for
Crystal Structure-Factor Calculations, Acta Crystallographica, Vol. 2,
Part 6, pp. 347-351 (December, 1949).
Grosch, H. R. J., Harmonic Analysis by the Use of Progressive Digiting,
Proceedings of the Research Forum, pp. 81-84 (International Business
Machines Corporation, New York, 1946).
Grosch, H. R. J., Multiplication of Small Matrices (International Business
Machines Corporation, New York, June 1, 1949). 3 pp.
Grosch, H. R. J., The Use of Optimum Internal Mathematical Tables,
Proceedings, Scientific Computation Forum, pp. 23-27 (International
Business Machines Corporation, New York, 1948).
Grosch, H. R. J. (Editor), Proceedings, Scientific Computation Forum 1948.
Grossman, D. P., The Application of Punched Card Machines to the Solution
of a System of Linear Algebraic Equations by the Iteration Method,
Akademiia Nauk SSSR, Otdelenie Tekhnicheskikh Nauk, No. 8, pp. 1229-
1238 (August, 1948) (Russian).
Gull, Cloyd Dake, A Punched Card Method for the Bibliography, Abstract-
ing, and Indexing of Chemical Literature, Journal of Chemical Education,
Vol. 23, No. 10, pp. 500-507 (October, 1946).
Hainer, R. M., and Gilbert W. King, The Asymmetric Rotor. V. An Analy-
sis of the 3.7-m Band of H2S by Punched-Card Techniques, Journal of
Chemical Physics, Vol. 15, No. 2, pp. 89-91 (February, 1947).
Harrison, Joseph O., Jr., Piecewise Polynomial Approximation for Large-
Scale Digital Calculators, Mathematical Tables and Other Aids to Computa-
tion, Vol. 3, No. 26, pp. 400-407 (April, 1949).
Hartkemeier, Harry Pelle, and Herman E. Miller, Obtaining Differences
from Punched Cards, Journal of the American Statistical Association, Vol.
37, No. 218, pp. 285-287 (June, 1942).
Hartree, Douglas R., Calculating Instruments and Machines (The University
of Illinois Press, Urbana, 111., 1949). 138 pp.
Hartree, Douglas R., Notes on Iterative Processes, Proceedings of the Cam-
bridge Philosophical Society, Vol. 45, No. 2, pp. 230-236 (April, 1949).
Harvard Computation Laboratory, A Manual of Operation for the Automatic
Sequence Controlled Calculator, The Annals of the Computation Laboratory
of Harvard University, Vol. 1 (Harvard University Press, Cambridge,
Mass., 1946). 561 pp.
Harvard Computation Laboratory, Proceedings of a Symposium on Large-
Scale Digital Calculating Machinery, The Annals of the Computation
Laboratory of Harvard University, Vol. 16 (Harvard University Press,
Cambridge, Mass., 1948). 302 pp.
Harvard Computation Laboratory, Tables of the Bessel Functions of the
PUNCHED-CARD COMPUTING SYSTEMS 171
First Kind, The Annals of the Computation Laboratory of Harvard Univer-
sity, Vols. 3-12 (Harvard University Press, Cambridge, Mass., 1947-1949).
Harvard Computation Laboratory, Tables for the Design of Missiles, The
Annals of the Computation Laboratory of Harvard University, Vol. 17 (Har-
vard University Press, Cambridge, Mass., 1948). 226 pp.
Harvard Computation Laboratory, Tables of Generalized Sine- and Cosine-
Integral Functions, The Annals of the Computation Laboratory of Harvard
University, Vols. 18-19 (Harvard University Press, Cambridge, Mass.,
1949).
Harvard Computation Laboratory, Tables of Inverse Hyperbolic Functions,
The Annals of the Computation Laboratory of Harvard University, Vol. 20
(Harvard University Press, Cambridge, Mass., 1949).
Harvard Computation Laboratory, Tables of the Modified Hankel Functions
of Order One-Third and of Their Derivatives, The Annals of the Computa-
tion Laboratory of Harvard University, Vol. 2 (Harvard University Press,
Cambridge, Mass., 1945). 235 pp.
Hausman, L. F. and M. Schwarzschild, Automatic Integration of Linear
Sixth-Order Differential Equations by Means of Punched-Card Machines,
Review of Scientific Instruments, Vol. 18, No. 12, pp. 877-883 (December,
1947).
d2P
Herget, Paul, Integration of the Differential Equation -r-^ = P • F(r) Using
the Type 601 Multiplying Punch, Proceedings, Scientific Computation
Forum, pp. 39-41 (International Business Machines Corporation, New-
York, 1948).
Herget, Paul, Numerical Integration with Punched Cards, Astronomical
Journal, Vol. 52, No. 4, pp. 115-117 (November, 1946).
Herget, Paul, and G. M. Clemence, Optimum-Interval Punched-Card Tables,
Mathematical Tables and Other Aids to Computation, Vol. 1, No. 6, pp. 173-
176 (April, 1944).
Hodgson, M. L., C. J. B. Clews, and W. Cochran, A Punched-Card Modifica-
tion of the Beevers-Lipson Method of Fourier Synthesis, Acta Crystallo-
graphica, Vol. 2, Part 2, pp. 113-116 (April, 1949).
Hollander, Frederick H., Punched Card Calculating and Printing Methods in
the Nautical Almanac Office, Proceedings, Scientific Computation Forum,
pp. 83-94 (International Business Machines Corporation, New York,
1948).
Hollerith, H., The Electrical Tabulating Machine, Journal of the Royal
Statistical Society, Vol. 57, Part 4, pp. 678-682 (December, 1894).
Hollerith, H., An Electric Tabulating System, School of Mines Quarterly
(Columbia University), Vol. 10, No. 3, pp. 238-255 (April, 1889).
Horton, H. Burke, and R. Tynes Smith, III, A Direct Method for Producing
Random Digits in Any Number System, Annals of Mathematical Statistics,
Vol. 20, No. 1, pp. 82-90 (March, 1949).
Hotelling, Harold, Some New Methods in Matrix Calculation, Annals of
Mathematical Statistics, Vol. 14, No. 1, pp. 1-34 (March, 1943).
Hotelling, Harold, Further Points on Matrix Calculation and Simultaneous
Equations, Annals of Mathematical Statistics, Vol. 14, No. 4, pp. 440-441
(December, 1943).
172 COMPUTING SYSTEMS
Howe, H. Herbert, Computing Magnetic Observatory Results with Punched
Cards, U.S. Coast and Geodetic Survey, Document No. T-113 (July 6,
1948).
Hurd, Cuthbert C, IBM Applications in Industrial Statistics, Proceedings,
Scientific Computation Forum, pp. 45-48 (International Business Machines
Corporation, New York, 1948).
International Business Machines Corporation, IBM Automatic Sequence Con-
trolled Calculator (International Business Machines Corporation, New
York, 1945). 6 pp.
International Business Machines Corporation, IBM Selective Sequence Elec-
tronic Calculator, Form 52-3927-0 (International Business Machines
Corporation, New York, 1948). 16 pp.
International Business Machines Corporation, IBM Survey Computer,
Form 50-3885-0 (International Business Machines Corporation, New York,
October, 1947). 7 pp.
Jennings, Philip D., and George E. Quinan, The Use of Business Machines
in Determining the Distribution of Load and Reactive Components in
Power Line Networks, Transactions of the American Institute of Electrical
Engineers, Vol. 65, pp. 1045-1046 (July, 1946).
Johnson, Curt I., A New Approach to the Design of Dynamically Loaded
Extension and Compression Springs, American Society of Mechanical Engi-
neers, Paper No. 48-SA-23 (1948). 18 pp.
Johnston, Herrick L., Lydia Savedoff and Jack Belzer, Contributions to the
Thermodynamic Functions by a Planck- Einstein Oscillator in One Degree of
Freedom (Office of Naval Research, Department of the Navy, Washington,
D.C., July, 1949). 159 pp.
Kimball, Everett, Jr., A Fundamental Punched Card Method for Technical
Computations (Bureau of the Census, Washington, D.C., undated). 12 pp.
Kimball, Everett, Jr., A Method of Technical Computations by Punched Card
Equipment (Bureau of the Census, Washington, D.C., undated). 8 pp.
King, Gilbert W., Application of Punched Cards in Physical Chemistry,
Proceedings, Scientific Computation Forum, pp. 70-73 (International Busi-
ness Machines Corporation, New York, 1948).
King, Gilbert W., Some Applications of Punched-Card Methods in Research
Problems in Chemical Physics, Journal of Chemical Education, Vol. 24,
No. 2, pp. 61-64 (February, 1947).
King, Gilbert W., The Asymmetric Rotor. IV. An Analysis of the 8.5-/*
Band of D20 by Punched Card Techniques, Journal of Chemical Physics,
Vol. 15, No. 2, pp. 85-88 (February, 1947).
King, Gilbert W., A Method of Plotting on Standard IBM Equipment,
Mathematical Tables and Other Aids to Computation, Vol. 3, No. 25, pp.
352-355 (January, 1949).
King, Gilbert W., Punched Card Tables of the Exponential Function, Review
of Scientific Instruments, Vol. 15, No. 12, pp. 349-350 (December, 1944).
King, Gilbert W., Paul C. Cross, and George B. Thomas, The Asymmetric
Rotor. III. Punched-Card Methods of Constructing Band Spectra,
Journal of Chemical Physics, Vol. 14, No. 1, pp. 35-42 (January, 1946).
Kintas, John, A Survey of the IBM Project at Beech Aircraft Corporation,
PUNCHED-CARD COMPUTING SYSTEMS 173
Proceedings, Scientific Computation Forum, pp. 54-59 (International Busi-
ness Machines Corporation, New York, 1948).
Knudsen, Lila F., A Punched Card Technique to Obtain Coefficients of
Orthogonal Polynomials, Journal of the American Statistical Association,
Vol. 37, No. 220, pp. 496-506 (December, 1942).
Kormes, Jennie P., and Mark Kormes, Numerical Solution of Initial Value
Problems by Means of Punched-Card Machines, Review of Scientific Instru-
ments, Vol. 16, No. 1, pp. 7-9 (January, 1945).
Kormes, Mark, Numerical Solution of the Boundary Value Problem for the
Potential Equation by Means of Punched Cards, Review of Scientific
Instruments, Vol. 14, No. 8, pp. 248-250 (August, 1943).
Kraft, Hans, Aerodynamic Lattice Calculations Using Punched Cards,
Proceedings, Scientific Computation Forum, pp. 60-66 (International
Business Machines Corporation, New York, 1948).
Laderman, Jack, and Milton Abramowitz, Application of Machines to Dif-
ferencing of Tables, Journal of the American Statistical Association, Vol. 41,
pp. 233-237 (June, 1946).
Leavens, Dickson H., The Digit or Group Extension Method of Multiplication
(Harvard Business School, BS475, undated). 6 pp.
Lehmer, D. N., Factor Stencils, revised and extended by J. D. Elder (Car-
negie Institution, Washington, D.C., 1939). 27 pp. + 2135 stencils.
Leppert, E. L., Jr., An Application of IBM Machines to the Solution of the
Flutter Determinant, Journal of the Aeronautical Sciences, Vol. 14, No. 3,
pp. 171-174 (March, 1947).
Levin, Joseph H., Use of the IBM Relay Calculators for Technical Calcula-
tions at Aberdeen Proving Ground, Proceedings, Scientific Computation
Forum, pp. 101-104 (International Business Machines Corporation, New
York, 1948).
Lindberger, N. Arne, Integration of Second Order Linear Differential Equa-
tions on the Type 602 Calculating Punch, Proceedings, Scientific Computa-
tion Forum, pp. 34-38 (International Business Machines Corporation, New
York, 1948).
Lorant, Ralph R., Evaluation of Determinants with Complex Elements by
Means of the IBM Punched Card Method, (International Business Machines
Corporation, New York, June 1, 1946). 16 pp.
Lynch, J., and C. E. Johnson, Programming Principles for the IBM Relay
Calculators, Report No. 705 (Ballistic Research Laboratories, Aberdeen
Proving Ground, Aberdeen, Md., October, 1949). 95 pp.
McPherson, J. C, Mathematical Operations with Punched Cards, Journal
of the American Statistical Association, Vol. 37, No. 218, pp. 275-281
(June, 1942).
McPherson, J. C, On Mechanical Tabulation of Polynomials, Annals of
Mathematical Statistics, Vol. 12, No. 3, pp. 317-327 (September, 1941).
McPherson, J. C, Solution of Simultaneous Equations by Punched Card
Methods (International Business Machines Corporation, New York,
undated). 5 pp.
Maginniss, Frank J., Some Engineering Applications of IBM Equipment at
the General Electric Company, Proceedings, Scientific Computation Forum,
174 COMPUTING SYSTEMS
pp. 49-51 (International Business Machines Corporation, New York,
1948).
Martin, Louis D., A Simplified Fine-Pitch Worm Gearing Standard, Paper
No. 48-A-82 (American Society of Mechanical Engineers, New York,
1948). 14 pp.
Massachusetts Institute of Technology, Department of Electrical Engineer-
ing, Center of Analysis, Tables of Supersonic Flow Around Cones, Technical
Report No. 1 (Cambridge, Mass., 1947). 555 pp.
Massachusetts Institute of Technology, Department of Electrical Engineer-
ing, Center of Analysis, Tables of Supersonic Flow Around Yawing Cones,
Technical Report No. 3 (Cambridge, Mass., 1947). 321 pp.
Massachusetts Institute of Technology, Department of Electrical Engineer-
ing, Center of Analysis, Tables of Supersonic Flow Around Cones of Large
Yaw, Technical Report No. 5 (Cambridge, Mass., 1949). 125 pp.
Mayor, Yoland, Applying Statistical Machines to Bibliographical Investi-
gations, Chimie et Industrie, Vol. 35, No. 2, pp. 458-466 (February, 1936)
(French).
Milne, William Edmund, Numerical Calculus (Princeton University Press,
Princeton, N.J., 1949). 393 pp.
Morgan, John A., and D. E. H. Frear, Coding and Sorting Chemical Com-
pounds by Means of Punched Cards, Journal of Chemical Education,
Vol. 24, No. 2, pp. 58-61 (February, 1947).
Mulligan, J. H., Jr., The Effect of Pole and Zero Locations on the Transient
Response of Linear Dynamic Systems, Proceedings of the Institute of
Radio Engineers, Vol. 37, No. 5, pp. 516-529 (May, 1949); No. 10, p. 1181
(October, 1949).
Munk, Max M., Use of Automatic Calculation Methods in Aeronautical
Research, Aero Digest, Vol. 50, No. 5, pp. 68-69, 192 (September 1, 1945).
Murray, Francis J., Simultaneous Linear Equations, Proceedings, Scientific
Computation Forum, pp. 105-106 (International Business Machines
•Corporation, New York, 1948).
National Bureau of Standards, Bibliography on Automatic Digital Comput-
ing Machinery (U. S. Department of Commerce, Washington, D.C.,
January, 1948). 10 pp.
Nautical Almanac Office, The American Air Almanac, (U.S. Government
Printing Office, Washington, D.C., January- April, 1942). 240 pp.
Nautical Almanac Office, Tables of Sunrise, Sunset and Twilight, Supple-
ment to the American Ephemeris, 1946 (U.S. Government Printing Office,
Washington, D.C., 1945). 196 pp.
Nowacki, W., Die Verwendung von Lochkartenmaschinen zur Fourier- und
Patterson-Synthese von Kristallen, Chimia, Vol. 2, No. 12, pp. 3-7 (May
21, 1948) (German).
Oakley, Margaret B., and George E. Kimball, Punched Card Calculation of
Resonance Energies, Journal of Chemical Physics, Vol. 17, No. 8, pp. 706-
717 (August, 1949).
Peakes, Gilbert L., Report Indexing by Punch Cards, Journal of Chemical
Education, Vol. 26, No. 3, pp. 139-146 (March, 1949).
Peebles, Glenn H., A Method for Calculating Airfoil Sections from Specifica-
PUNCHED-CARD COMPUTING SYSTEMS 175
tions on the Pressure Distributions, Journal of the Aeronautical Sciences,
Vol. 14, No. 8, pp. 451-456 (August, 1947).
Polachek, Harry, Computation of Shock Wave Refraction on the Selective
Sequence Electronic Calculator, Proceedings, Scientific Computation Forum,
pp. 107-122 (International Business Machines Corporation, New York,
1948).
Rankin, A. W., Calculation of the Multiple-Span Critical Speeds of Flexible
Shafts by Means of Punched-Card Machines, Paper No. 45-A-46 (Turbine
Generator Engineering Division, General Electric Corporation, Schenec-
tady, N.Y., undated). 10 pp.
Renner, H. W., Solving Simultaneous Equations through the Use of IBM Elec-
tric Punched Card Accounting Machines (International Business Machines
Corporation, Endicott, N.Y., 1946). 6 pp.
Reynolds, William A., A Prepunched Master Deck for the Computation of
Square Roots on IBM Electrical Accounting Equipment, Psychometrika,
Vol. 11, No. 4, pp. 223-237 (1946).
Robinson, Raphael M., Stencils for Solving x2 = a (mod m) (University of
California Press, Berkeley and Los Angeles, 1940). 14 pp. + 272 stencils.
Sandomire, Marion M., Accumulating Cubes with Punch Cards, Journal of
the American Statistical Association, Vol. 36, No. 216, pp. 507-514 (Decem-
ber, 1941).
Savedoff, Lydia G., Jack Belzer, and Herrick L. Johnston, Application of
Punched Card Methods to the Computation of Thermodynamic Properties
of Gases from Spectra, Proceedings, Scientific Computation Forum, pp.
74-76 (International Business Machines Corporation, New York, 1948).
Savedoff, Lydia G., Jack Belzer, and Herrick L. Johnston, Computation of
Thermodynamic Properties of Gases from Spectra with the Aid of Punched
Card Equipment, Volume of the Third Symposium on Combustion, Flame
and Explosion Phenomena, pp. 595-599 (University of Wisconsin, Mad-
ison, Wis., September, 1948).
Scarborough, James Blaine, Numerical Mathematical Analysis (Johns
Hopkins Press, Baltimore, Md., 1930). 416 pp.
Schwarzschild, M., On Stellar Rotation. II, Astrophysical Journal, Vol. 106,
No. 3, pp. 427-456 (November, 1947).
Shaffer, P. A., Jr., and Linus Pauling, The Use of Punched Cards in Molecu-
lar Structure Determinations. I. Crystal Structure Calculations, Journal
of Chemical Physics, Vol. 14, No. 11, pp. 648-658 (November, 1946).
Shaffer, P. A., Jr., Verner Schomaker, and Linus Pauling, The Use of Punched
Cards in Molecular Structure Determinations. II. Electron Diffraction
Calculations, Journal of Chemical Physics, Vol. 14, No. 11, pp. 659-664
(November, 1946).
Shapley, A. H., The Recurrence Tendency and Forecasts of Magnetic
Activity, Transactions of the American Geophysical Union, Vol. 28, No. 5,
pp. 715-721 (October, 1947).
Shimizu, Tatsujiro, and Yoichi Katayama, Solutions of Non-Linear Equa-
tions by Punched-Card Methods, Mathematical Japonicae, Vol. 1, No. 2,
92-97 (1948).
Snedecor, George W., Uses of Punched Card Equipment in Mathematics,
176 COMPUTING SYSTEMS
American Mathematical Monthly, Vol. 35, No. 4, pp. 161-169 (April, 1928).
Sprinkle, Leland W., Two Numerical Methods of Integration Using Pre-
determined Factors, Proceedings, Scientific Computation Forum, pp. 32-33
(International Business Machines Corporation, New York, 1948).
Targoff, Walter P., The Associated Matrices of Bending and Coupled
Bending-Torsion Vibrations, Journal of the Aeronautical Sciences, Vol. 14,
No. 10, pp. 579-582 (October, 1947).
Targoff, Walter P., A Tabulation Method for the Calculation of the Critical
Speed of Wing Divergence, Journal of the Aeronautical Sciences, Vol. 14,
No. 8, pp. 487-488 (August, 1947).
Thomas, George B., and Gilbert W. King, Preparation of Punched-Card
Tables of Logarithms, Review of Scientific Instruments, Vol. 15, No. 12,
p. 350 (December, 1944).
Thomas, L. H., Computation of Statistical Fields for* Atoms and Ions,
Proceedings, Scientific Computation Forum, pp. 123-128 (International
Business Machines Corporation, New York, 1948).
Tucker, Ledyard R., Factorial Rotation of Axes with Graphs Made by Machine,
Bibliofilm Manuscript (University of Chicago Library, 1941).
Tucker, Ledyard R., A Matrix Multiplier, Psychometrika, Vol. 5, No. 4,
pp. 289-294 (December, 1940).
Verzuh, Frank M., Evaluation of Higher Order Differences on the Type 602
Calculating Punch, Proceedings, Scientific Computation Forum, pp. 9-13
(International Business Machines Corporation, New York, 1948).
Verzuh, Frank M., The Solution of Simultaneous Linear Equations with the
Aid of the 602 Calculating Punch, Mathematical Tables and Other Aids to
Computation, Vol. 3, No. 27, pp. 453-462 (July, 1949).
Von Neumann, John, and H. H. Goldstine, Numerical Inverting of Matrices
of High Order, Bulletin of the American Mathematical Society, Vol. 53, No.
11, pp. 1021-1099 (November, 1947).
Walker, Robert M., An Analogoue Computer for the Solution of Linear
Simultaneous Equations, Proceedings of the Institute of Radio Engineers,
Vol. 37, No. 12, pp. 1467-1473 (December, 1949).
Whittaker, Edmund, and G. Robinson, The Calculus of Observations (Blackie
& Son, Ltd., London, 1946). 397 pp.
Whitten, C. A., Air-Line Distances Between Cities in the United States,
Special Publication No. 238 (U.S. Government Printing Office, Washing-
ton, D.C., 1947). 246 pp.
Whitten, C. A., Triangulation- Adjustment by International Business
Machines, American Geophysical Union Transactions of 1943, Part 1,
pp. 31-32 (National Research Council, Washington, D.C., October, 1943).
Womersley, J. R., Scientific Computing in Great Britain, Mathematical
Tables and Other Aids to Computation, Vol. 2, No. 15, pp. 110-117 (July,
1946).
Statistics
Bartlett, Neil R., Punched Card Technique for Computing Means, Standard
Deviations, and the Product Moment Correlation Coefficient, and for List-
ing Scattergrams, Science, Vol. 104, No. 2703, pp. 374-375 (October 18,
1946).
PUNCHED-CARD COMPUTING SYSTEMS 177
Benjamin, Kurt, An IBM Technique for the Computation of Src2 and Sxy,
Psychometrika, Vol. 10, No. 1, pp. 61-67 (March, 1945).
Benjamin, Kurt, Problems of Multiple-Punching with Hollerith Machines,
Journal of the American Statistical Association, Vol. 42, No. 237, pp. 46-71
(March, 1947).
Benjamin, Kurt, Statistical Procedures in the Hospital, Proceedings, Hospital
Financial Control Institute, pp. 58-63 (International Business Machines
Corporation, New York, August, 1948).
Berkson, Joseph, A Punch Card Designed to Contain Written Data and
Coding, Journal of the American Statistical Association, Vol. 36, No. 216,
pp. 535-538 (December, 1941).
Berkson, Joseph, A System of Codification of Medical Diagnoses for Applica-
tion to Punch Cards with Plan of Operation, American Journal of Public
Health, Vol. 26, pp. 606-612 (June, 1936).
Black, Bertram J., and Edward B. Olds, A Punched Card Method for
Presenting, Analyzing and Comparing Many Series of Statistics for Areas,
Journal of the American Statistical Association, Vol. 41, No. 235, pp. 347-
355 (September, 1946).
Black-Schaffer, Bernard, and Paul D. Rosahn, Methods of Analysis of Yale
Autopsy Protocols, Including a Code for the Punched Card Study of
Syphilis, Yale Journal of Biology and Medicine, Vol. 15, pp. 575-586
(March, 1943).
Brandt, A. E., Use of Machine Factoring in Multiple Correlation, Journal of
the American Statistical Association, Vol. 23, No. 163, pp. 291-295 (Septem-
ber, 1928).
Caddy, E. Reid, Punch Cards Simplify Statistics, Modern Hospital, Vol. 52,
No. 5, pp. 82-84 (May, 1939).
Castore, George F., and William S. Dye, III, A Simplified Punch Card
Method of Determining Sums of Squares and Sums of Products, Psycho-
metrika, Vol. 14, No. 3, pp. 243-250 (September, 1949).
Cochran, W. J., Use of IBM Equipment in an Investigation of the "Trun-
cated Normal" Problem, Proceedings of the Research Forum, pp. 40-44
(International Business Machines Corporation, New York, August, 1946).
Comrie, L. J., G. B. Hey, and H. G. Hudson, Application of Hollerith Equip-
ment to an Agricultural Investigation, Supplement to the Journal of the
Royal Statistical Society, Vol. 4, No. 2, pp. 210-224 (1937).
Deming, W. Edwards, and Leon Geoffrey, On Sample Inspection in the Proc-
essing of Census Returns, Journal of the American Statistical Association,
Vol. 36, No. 215, pp. 351-360 (September, 1941).
Deming, W. Edwards, Benjamin J. Tepping, and Leon Geoffrey, Errors in
Card Punching, Journal of the American Statistical Association, Vol. 37,
No. 220, pp. 525-536, December, 1942.
DuBois, Philip H., A Note on the Computation of Biserial r in Item Valida-
tion, Psychometrika, Vol. 7, No. 2, pp. 143-146 (June, 1942).
DuBois, Philip H., Some Statistical Operations on the Counting Sorter,
Psychometrika, Vol. 6, No. 6, pp. 383-390 (December, 1941).
Dunlap, Jack W., The Computation of Means, Standard Deviations and
Correlations by the Tabulator when the Numbers are Both Positive and
178 COMPUTING SYSTEMS
Negative, Proceedings of the Educational Research Forum, pp. 16-19
(International Business Machines Corporation, New York, August, 1940).
Dunlap, Jack W., Note on the Computation of Tetrachoric Correlations,
Psychometrika, Vol. 5, No. 2, pp. 137-140 (June, 1940).
Dunn, Halbert L., Adaptation of New Geometric Code to Multiple Punch-
ing in Mechanical Tabulation, Journal of the American Statistical Associa-
tion, Vol. 27, No. 179, pp. 279-286 (September, 1932).
Dunn, Halbert L, and Reed Rockwood, A Record System Suitable for Both
Clinical and Statistical Medicine, Archives of Internal Medicine, Vol. 41,
pp. 499-535 (April, 1928).
Dunn, Halbert L., and Leonard Townsend, Application of Punched Card
Methods to Hospital Statistics, Journal of the American Statistical Associa-
tion, Vol. 30, No. 189A, pp. 244-248 (March, 1935).
Dwyer, Paul S., The Computation of Moments with the Use of Cumulative
Totals, Annals of Mathematical Statistics, Vol. 9, No. 4, pp. 288-304
(December, 1938).
Dwyer, Paul S., Recent Developments in Correlation Technique, Journal of
the American Statistical Association, Vol. 37, No. 220, pp. 441-460 (Decem-
ber, 1942).
Dwyer, Paul S., Simultaneous Computation of Correlation Coefficients with
Missing Variates, Proceedings of the Research Forum, pp. 20-27 (Interna-
tional Business Machines Corporation, New York, August, 1946).
Dwyer, Paul S., Summary of Problems in the Computation of Statistical
Constants with Tabulating and Sorting Machines, Proceedings of the
Educational Research Forum, pp. 20-28 (International Business Machines
Corporation, New York, August, 1940).
Dwyer, Paul S., and Alan D. Meacham, The Preparation of Correlation
Tables on a Tabulator Equipped with Digit Selection, Journal of the
American Statistical Association, Vol. 32, No. 200, pp. 654-662 (December,
1937).
Eckler, A. Ross, Some Elementary Machine Problems in the Sampling Work
of the Census, Proceedings, Scientific Computation Forum, pp. 42-44
(International Business Machines Corporation, New York, 1948).
Edwards, Thomas I., The Coding and Tabulation of Medical and Research
Data for Statistical Analysis, Public Health Reports, Vol. 57, No. 1, pp.
7-20 (January, 1942).
Ellis, Max E., and Arthur J. Riopelle, An Efficient Punched-Card Method of
Computing 2x, Sx2, Sxy and Higher Moments, Psychometrika, Vol. 13,
No. 2, pp. 79-85 (June, 1948).
Gibbs, Frederic A., and A. M. Grass, Frequency Analysis of Electroenceph-
alograms, Science, Vol. 105, No. 2718 pp. 132-134 (January 31, 1947).
Hall, D. H., E. L. Welker, and Isabelle Crawford, Factor Analysis Calcula-
tions by Tabulating Machines, Psychometrika, Vol. 10, No. 2, pp. 93-125
(June, 1945).
Harman, Harry H., Four Aspects of Factor Analysis, Proceedings of the
Educational Research Forum, pp. 60-67 (International Business Machines
Corporation, New York, August, 1940).
PUNCHED-CARD COMPUTING SYSTEMS 179
Hartkemeier, Harry Pelle, Principles of Punch-Card Machine Operation
(The Thomas Y. Crowell Company, New York, 1942). 269 pp.
Hartley, H. O., The Application of Some Commercial Calculating Machines
to Certain Statistical Calculations, Supplement to the Journal of the Royal
Statistical Society, Vol. 8, No. 2, pp. 154-173; discussion, pp. 173-183
(1946).
Hey, G. B., A New Method of Experimental Sampling Illustrated on Certain
Non-Normal Populations, Biometrika, Vol. 30, Part 1, pp. 68-80 (June,
1938).
Hodges, Fred Jenner, Isadore Lampe, and Kurt Benjamin, Organized
Clinical Investigation of Cancer, Supplement to University Hospital Bulletin
(University of Michigan, University Hospital, February, 1948).
Homeyer, Paul G., Mary A. Clem, and Walter T. Federer, Punched Card and
Calculating Machine Methods for Analyzing Lattice Experiments Includ-
ing Lattice Squares and the Cubic Lattice, Research Bulletin 347, (Iowa
State College, Ames, Iowa, April, 1947).
International Business Machines Corporation, Proceedings of the Educational
Research Forum (International Business Machines Corporation, New York,
August, 1940). 127 pp.
International Business Machines Corporation, Proceedings of the Research
Forum (International Business Machines Corporation, New York, August,
1946). 94 pp.
Kempthorne, O., The Analysis of a Series of Experiments by the Use of
Punched Cards, Supplement to the Journal of the Royal Statistical Society,
Vol. 8, No. 1, pp. 118-127 (1946).
Kempthorne, O., The Use of a Punched-Card System for the Analysis of
Survey Data, with Special Reference to the Analysis of the National Farm
Survey, Journal of the Royal Statistical Society, Vol. 109, Part 3, pp. 284-
295 (1946).
Lorge, Irving, The Computation of the Hotelling Canonical Correlation,
Proceedings of the Educational Research Forum, pp. 68-74 (International
Business Machines Corporation, New York, August, 1940).
Martin, Caroline R., Hospital Medical Statistics (J. B. Lippincott Company,
Philadelphia, 1933). 89 pp.
Martin, Caroline R., The Value of the Work of a Central Medical Statistical
Bureau. Paper read before the American Hospital Association, Mil-
waukee, Sept. 13, 1933. 7 pp.
Meacham, Alan D., The Tabulating Machine Method as Used for Modern
Mathematical Statistics (Edwards Bros., Inc., Ann Arbor, Mich., 1930).
17 pp.
Meacham, Alan D., The Value of the Collator in Using Prepunched Cards for
Obtaining Moments and Product Moments, Proceedings of the Educational
Research Forum, pp. 9-15 (International Business Machines Corporation,
New York, August, 1940).
Mendenhall, R. M., and Richard Warren, Computing Statistical Coefficients
from Punched Cards, Journal of Educational Psychology, Vol. 21, No. 1,
pp. 53-62 (January, 1930).
180 COMPUTING SYSTEMS
Millang, Amy, and G. F. Sprague, The Use of Punched Card Equipment in
Predicting the Performance of Corn Double Crosses, American Society of
Agronomy Journal, Vol. 32, No. 10, pp. 815-816 (October, 1940).
Miller, Richard D., Punch Card Simplifies Records, Modern Hospital, Vol.
55, No. 1, p. 45 (July, 1940).
Milliman, Wendell A., Mechanical Multiplication by the Use of Tabulating
Machines, Transactions of the Actuarial Society of America, Vol. 35, Part 2,
pp. 253-264 (October, 1934); Vol. 36, Part 1, pp. 77-84 (May, 1935).
Pearl, Raymond, Modern Methods in Handling Hospital Statistics, Johns
Hopkins Hospital Bulletin, Vol. 32, No. 364, pp. 184-194 (June, 1921).
Reagh, Russell R., A Simplified Code for Multiple Card Punching, Journal
of the American Statistical Association, Vol. 29, No. 186, pp. 182-183
(June, 1934).
Reid, Mabel, Use of IBM Punch Cards, Public Health Nursing, Vol. 39, No.
2, pp. 83-85 (February, 1947).
Rosahn, Paul D., The Punched Card Technique as Applied to Autopsy
Protocol Analysis, Journal of Technical Methods, Vol. 18, pp. 32-36
(November, 1938).
Royer, Elmer B., A Machine Method for Computing the Biserial Correlation
Coefficient in Item Validation, Psychometrika, Vol. 6, No. 1, pp. 55-59
(February, 1941).
Royer, Elmer B., and Herbert A. Toops, The Statistics of Geometrically
Coded Scores, Journal of the American Statistical Association, Vol. 28, No.
182, pp. 192-198 (June, 1933).
Schreiber, Frederic, and Aage Nielsen, Punch Card Code for Classifica-
tion of Craniocerebral Injuries, Journal of the Michigan State Medical
Society, Vol. 37, No. 10, pp. 909-912 (October, 1938).
Smith, Bradford B., The Use of Punched Card Tabulating Equipment in
Multiple Correlation Problems (U.S. Department of Agriculture, Bureau of
Agricultural Economics, Washington, D.C., October, 1923). 24 pp.
Tajdor, Erwin K., Use of a Single Card Column for Recording Variables with
a Range of 30 or Fewer Units, Proceedings of the Research Forum, pp. 63-67
(International Business Machines Corporation, New York, August, 1946).
Toops, Herbert A., Annotated Bibliography of Tabulating and Recording
Devices, Ohio College Association Bulletin, No. 122, pp. 2401-2410 (April
13, 1940).
Toops, Herbert A., Research Possibilities of Addends, Proceedings of the
Research Forum, pp. 68-74 (International Business Machines Corporation,
New York, August, 1946).
Tucker, Ledyard R., The Centroid Method of Factor Analysis by Punched
Cards, Bibliofilm Manuscript No. 1623 (University of Chicago Library,
1941).
Tucker, Ledyard R., A Note on the Computation of a Table of Intercorrela-
tions, Psychometrika, Vol. 13, No. 4, pp. 245-250 (December, 1948).
Tucker, Ledyard R., A Note on a Machine Method for the Quantification of
Attributes, The Prediction of Personal Adjustment (Paul Horst, Editor),
Bulletin No. 48, pp. 347-348 (Social Science Research Council, New York,
1941).
PUNCHED-CARD COMPUTING SYSTEMS 181
Tucker, Ledyard R., Simplified Card Methods in Factor Analysis, Proceed-
ings of the Research Forum, pp. 9-19 (International Business Machines Cor-
poration, New York, August, 1946).
Usilton, Lida J., A Mechanical System for Record Keeping of Morbidity,
Treatment-Progress, and Control of Venereal Diseases, Venereal Disease
Information, Vol. 21, No. 3, pp. 61-67 (March, 1940).
Varossieau, W. W., Use of the U. D. C. in Selecting Data with Mechanical
Appliances, Revue de la Documentation, Vol. 15, No. 2, pp. 41-46 (1948).
Vickery, C. W., On Drawing a Random Sample from a Set of Punched Cards,
Supplement to the Journal of the Royal Statistical Society, Vol. 6, No. 1, pp.
62-66 (1939).
Wallace, Henry A., and George W. Snedecor, Correlation and Machine
Calculation, Official Publication of Iowa State College, Vol. 23, No. 35
(January 28, 1925). 47 pp.
Wangeman, C. P., An Experiment in the Recording of Surgical and Anes-
thetic Data in Military Service. The Adaptation of Hollerith Punch
Cards, Used at Second Army Maneuvers, 1940, Anesthesiology, Vol. 2,
No. 2, pp. 179-185 (March, 1941).
Warren, Richard, Hollerith Machine Computation of Least Square Trend
Lines, Columbia University Statistical Bureau Document, No. 2 (1933).
35 pp.
Warren, Richard, and R. M. Mendenhall, The Mendenhall- Warren-Hollerith
Correlation Method, Columbia University Statistical Bureau Document,
No. 1 (1929). 34 pp.
CHAPTER 10
LARGE-SCALE DIGITAL COMPUTING SYSTEMS
10-1. Introduction
Four large-scale digital computing systems using electro-
mechanical relays as primary elements in arithmetic, storage,
transfer, and input-output are in operation: the Harvard
Mark II, the Bell Telephone Laboratories' Models V and VI,
and the IBM Pluggable Sequence Relay Calculator. The IBM
Automatic Sequence Controlled Calculator, commonly called
the Harvard Mark I, employs relays for switching and employs
the IBM counter wheel for storage and for the arithmetical
operations. Four large-scale electronic digital calculators are
at present in operation: the ENIAC, the IBM Selective Sequence
Electronic Calculator, the Harvard Mark III, and the BINAC.
This chapter will concern itself with the discussion of some of
these computing systems and others which are in design or under
development. A brief outline of each computer will be given
from the point of view of the types and numbers of components
employed in the system. For more detail regarding the func-
tions of those components, the reader is invited to examine the
contents of Chaps. 3, 4, and 13 to 17. A list of major design and
development projects on large-scale digital computers in this
country is presented in Table 10-1, pages 214-215.
10-2. Relay Computing Systems in Operation
During the period 1944 to 1947, four relay computers were
put into operation on scientific problems. These computers
vary widely in complexity and character. In general terms,
however, all of them are automatic sequence-controlled machines.
The IBM Pluggable Sequence Relay Calculator, while normally
not listed with large-scale digital machines, is included here for
purposes of comparison with IBM equipment discussed in
Chap. 9.
The general characteristics of relay computers are reviewed
in the literature.21
182
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 183
10-2-1. Harvard Mark I Calculator. General. Design and
construction of this calculator was begun in 1939 at Endicott,
New York, and continued until August, 1944, when the machine
was presented formally to Harvard University by T. J. Watson,
President of the International Business Machines Corporation.
Professor Howard H. Aiken of Harvard University, then Com-
mander, USNR, on active duty, B. M. Durfee, F. E. Hamilton,
and C. D. Lake were the coinventors of the machine.1
The relays, counters, cam contacts, typewriters, card feeds,
and card punches employed in the calculator are all standard
parts of the tabulator machinery as constructed by the Inter-
national Business Machines Corporation. 1,3,17,;L8
The external outline of the Mark I consists of a 51-foot panel,
8 feet in height; two 6-foot panels extend back at right angles
from the front panel. Along the 51-foot panel are mounted (1)
the sequence control, which directs the programming by punched
tape, (2) three interpolators, which are tape-fed units for selecting
data required in the interpolation process, (3) functional counters
for controlling the interpolation of functions, and for computing
logarithmic and trigonometric functions and printing, (4) a
multiplying-dividing unit for 23-digit accuracy, (5) 72 storage
counters for the intermediate storage of results up to 23 digits
capacity, used for arithmetic operations and accumulation, and
(6) a storage unit with a capacity of 60 23-digit decimal numbers
which can be introduced to the machine by manually setting dial
switches. The mechanical drive for this calculator is a 4-horse-
power motor ; the total assembly weighs approximately 5 tons.
Input, Output, and Control. The machine operations are
controlled by orders introduced on a coded 24-hole punched
tape consisting of three columns of eight holes each. This
input tape also controls the time required to add two numbers,
since it is that time which is required for the control tape to
move one step forward. The control tape can be advanced about
200 units per minute, which establishes the fundamental time
cycle of the machine as 0.3 second for the addition of two numbers.
Three tape-driven interpolators control the routine of the inter-
polation process in detail. One of the three tape-driven inter-
polates may also be used to introduce numerical values to the
calculator.
The machine processes the results of its calculation through
184 COMPUTING SYSTEMS
the use of standard IBM equipment: two punch-card readers, a
card punch, and two automatic typewriters.
Arithmetic Operations. The Mark I Calculator can perform
arithmetic operations on numbers up to 23 decimal digits, but
instructions can be introduced into the machine for its operation
to 12 or 46 significant figures. Addition and subtraction are
performed with the set of 72 electromechanical adding-storage
registers, which can store 23 digit numbers and can combine
numbers which are generated by the machine in the course of
its operation. Multiplication and division are performed in
the multiplication-division unit, and the process followed is that
of building up a small table of the first nine multiples of the
multiplicand or divisor and using this table in an appropriate
manner. Multiplication requires approximately 19 cycles, or
approximately 5.7 seconds; division requires about 51 cycles, or
15.3 seconds.
Function tables of log x, 10*, and sin x can be constructed
using an array of relay elements. Logarithmic tables are
computed by using four factors of the form
1 + h • 10-* where k = 0(1)3 and h = 0(1)9
and the power series for log (1 + x). [The notation a(b)c is used
in describing the extent and mesh of the arguments appearing
in a table of functions. The first number a in the notation
and the last number c are the first and last arguments in the table ;
the number b in parentheses is the difference between the argu-
ments of successive entries in the table. Thus, for a standard
set of five-place logarithms with four-place arguments, the
notation is 1.000(0.001)9.999.] This process reversed gives 10*.
A power-series method is used to compute sin x or cos x for values
of the argument less than 45°; other values of trigonometric
functions are derived from sin x or cos x. Calculation of loga-
rithmic and simple trigonometric functions requires about 200
cycles or 1 minute.
Storage and Transfer. Sixty 23-digit decimal numbers can be
stored in registers; numbers are set into the registers manually.
The 72 registers used in the arithmetic operations provide inter-
mediate storage. Numbers are transferred from one part of the
machine to another by timed electrical pulses of 50 volts ampli-
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 185
tude on a single bus. It is not possible, therefore, to transfer
simultaneously two or more numbers.
10-2-2. Harvard Mark II Calculator. General. This cal-
culator was designed and constructed by Harvard University6
for the Naval Proving Ground, Dahlgren, Va. The design
was initiated in early 1945; construction was completed in 1947.
The machine is now in operation at the Naval Proving Ground.
The Mark II uses electromechanical relays for the internal
storage of numbers, for the transfer of numbers, for performing
the basic arithmetical operations, and for sequence control of
these processes. The machine handles 10-digit decimal numbers
and uses the floating decimal point. The addition time for two
10-digit figures is 125 milliseconds and for two 10-digit multi-
plications, about 250 milliseconds. About 100 10-digit decimal
numbers can be stored in the machine; additional internal or
intermediate storage may be supplemented by punching data
on tapes for introduction to the machine at a later time. The
machine registers its results on punched tape or through the use
of page printers in the case of tabular material. It is interesting
to note that the Mark II can be operated as a whole on one prob-
lem or can be split into two parts and each operated separately.
The Mark II contains about 13,000 electromechanical relays.
These relays, specially constructed for the machine, are six-pole
high-speed units with double-throw contacts. They operate
on 100 volts direct current and take about 6 watts when con-
tinuously energized. The operating time of these relays is
relatively short, varying from 6 to 10 milliseconds. One-third
of the relays are provided with mechanical locking devices which
hold them in position without the relays being energized by a
steady current. These latches or locks are used in the internal
memory of the machine to reduce power requirements and,
in the case of a power failure, to provide a nonvolatile storage
system.
Input and Output. The calculator has 12 input mechanisms for
introducing commands and numbers to the machine. All these
mechanisms employ a punched-paper-tape input. Commands are
introduced to the machine on one group of four input tapes.
Another group of four input tapes introduces numbers to the
machine in any desired preassigned order. The group of four
input tapes is used for supplying the calculator with coded tables
186 COMPUTING SYSTEMS
of functions. Eight hundred functional values can be introduced
on these punched tapes.
The calculator records the final results of a computation
through the use of four page printers or automatic typewriters.
Each of these printers can record one complete number (25 char-
acters) in about 4 seconds. If the results are to be used again
by the machine itself, they may also be automatically punched
into paper tape. Four tape punches are available for this pur-
pose and can be made to operate at a maximum rate of about two
quantities in every 3 seconds.
Number System and Storage. A number N is represented by
the calculator in terms of another number p and an integer j
where
N = p X 10'', 1 < p <10 and -15 < j < +15
In order to represent p, four relays are required for each of the 10
decimal columns and one relay for the algebraic sign; j is repre-
sented in the binary system, which requires four relays. A
fifth relay for j is used to denote algebraic sign. A storage
register, therefore, requires 46 relays with 16 additional relays
for input and output of information to the register. Since there
are 100 such storage units in the machine, there are 6,200 relays
in the complete storage-register system. The output time for
any number in any register is approximately 33 milliseconds.
Six algebraic and transcendental functions are stored per-
manently within the machine; the reciprocal, the reciprocal
square root, the logarithm, the exponential, the cosine, and the
arc tangent. These functions can be calculated for any argument
to eight or nine significant figures as long as the argument and
the function are within the digit capacity of the machine. These
functions may be computed to this degree of precision within
from 5 to 12 seconds.
Arithmetic Operations. Because of this method of representing
numbers in the machine, the process of addition of two numbers
has to be accomplished in two steps: The first step is a comparison
of the exponents j by the machine, and the difference between
the smaller and larger exponent is obtained. The number char-
acterized by the smaller exponent is then shifted by the amount
of the difference between its j value and that of the larger number.
After an addition of two numbers has been performed, the sum
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 187
may have to be shifted as it is placed into storage. Negative
numbers are represented by complements on 9's; these are
obtained in the adder itself, since the storage units do not use
the complementary system. Addition requires about 200 milli-
seconds; this time is divided approximately into an input time
of 33 milliseconds, an operation time of 125 milliseconds, and
output time for the sum of about 33 milliseconds. The Mark II
Calculator contains two units for addition.
Multiplication in the Mark II is as described by R. V. D.
Campbell6:
"In multiplying, the calculator first obtains five multiples
of one of the factors, called the multiplicand (mc). Of these
multiples, 1 X (mc), 2 X (mc), 4 X (mc), and 5 X (mc) are
obtained by circuits which multiply directly, but 3 X (mc)
is obtained by addition. Each digit of the multiplier, working
from right to left, selects the proper multiple of the multiplicand,
which multiple, after the appropriate shift, is either added to
or subtracted from the sum of the previously chosen multiples.
Note that, because only five multiples are used instead of nine,
it is necessary to be able to subtract them as well as to add them.
The subtraction is carried out by using complements on nine.
The exponent of the product is equal either to the sum of the
exponents of the factors or to that sum increased by one. Mul-
tiplication requires 0.7 second, regardless of the magnitudes of
the factors or of how many non-zero digits they contain. There
are four multipliers in the calculator."
10-2-3. Bell Telephone Laboratories' Relay Computing Sys-
tems. General. The Bell Telephone Laboratories began the
design of their computing systems in 1938, using the apparatus
and circuit design techniques used generally in dial-telephone
systems. Six types of computers, recently designated by Model
numbers I to VI, have been built. Two Model V computers
have been built and one of each of the others, making a total of
seven. All of these except the Model I are in operation. Models
V and VI are in the large-scale computing machine class, and
brief descriptions of them are given below.
Of the earlier models, Model I was completed in 1940 and was
demonstrated before the Mathematical Society meeting of that
year at Dartmouth. The demonstration consisted of introducing
complex numbers into the computer by telegraph to New York
188 COMPUTING SYSTEMS
and receiving the answers through a telegraph printer at the
meeting. This machine was recently dismantled when the more
versatile Model VI was put in operation.
Model II (1943) and Model IV (1945) are in operation at the
Naval Research Laboratory in Washington, D.C. Model III
(1944) is in operation at the Laboratory of the Army Field
Forces Board at Fort Bliss, Texas.
Model V. In 1944 the development of an all-purpose auto-
matic computing system2,25,28 was started. This computer con-
tains more than 9,000 relays and about 50 pieces of teletype
equipment, weighs about 10 tons (twice the weight of the Mark I),
and covers about 1,000 square feet of floor space.
Two models of the BTL Model V machine have been built.
Each of these models consists of two computers with the necessary
equipment. Each computer contains all the components needed
for dealing with a computational problem with the exception
of tape-reading devices which are used in common between the
two computers. Each contains 15 storage registers; eight sign
registers; a calculator for the basic arithmetic operations and
square-root extraction; a routine control for directing the execu-
tion of instructions to the computer; a BTL register, for block-
forming, or number-grouping, trigonometric, and logarithmic
operations; a table register and table control for receiving and
storing numbers read from table tapes; a problem-registering
problem control for receiving and storing numbers from sections
of the problem tape; a printer-registering printer control for
receiving numbers from various parts of the machine and direct-
ing the process of printing and perforating; a discriminator,
which selects one out of several possible methods of computation
and directs the machine to perform one; a recorder table, which
contains a printing reperforator, a tape transmitter, and a
distributor.
For problems of medium complexity, usually one computer of
this system is used for carrying out the computation. For large
problems, the two computers are associated by the problem
programming, and both are used simultaneously during the
computation.
Input and Output. The input, similar to that for the other
digital machines, consists in introducing both numbers and
orders to the machine on a perforated paper tape; the input speed
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 189
is approximately that of the computing speed of the machine.
About 2 seconds are required to read and transfer into the
machine a seven-digit number or a command of average length.
Addition can be carried out in 0.3 second, multiplication in about
1 second. Input speed of the numbers, therefore, is slightly
slower than the unit time of operations for the machine.
The output of the machine is performed by standard teletype
devices called reperforators, for punching numerical data on tape,
or page printers, for printing on paper.
Number System. The essential difference between the Bell
Telephone Laboratories system and the other electromechanical
calculators is number representation in the biquinary system.
In this system, a decimal digit is replaced by two digits; one of
these digits is a quinary digit which has one of the values from
0 to 4; the other is a binary digit which has one of the two values
0 or 5 in such a way that the sum of the two values is equal to
the value of the decimal digit which it represents. Since there
are five binary relays and two quinary relays in this system, the
10 decimal digits, 0 to 9, require the availability of seven relays
for their registration, although actually only two relays are
activated at any one time. This represents a saving of three
relays over a machine operating on the decimal system where
10 relays must be available. Besides the seven relays, two
others are required for representing the sign of the number; the
negative numbers are not represented by complements but by
the number itself preceded by a minus sign.
Like the Harvard Mark II Calculator, the BTL machine uses
the floating decimal point. Each number is transformed into a
decimal number with seven significant digits multiplied by the
appropriate power of 10. The first decimal digit transferred
lies to the right of the decimal point, and the exponent of 10
provides that number by which the decimal is to be multiplied.
In this machine the exponents include the range —19 to +19.
These exponents are represented by a positive or negative sign,
a units digit and a 10's digit. The 10's digit, 0, and 1, and the
sign, + or — , are each stored on one of two relays. The units
digits, 0 to 9, are stored in the biquinary system on two of seven
relays.
Arithmetic Operations. The process of addition is carried out
using three groups of relays each of which can store a 10-digit
190 COMPUTING SYSTEMS
number in the biquinary system. These groups are so wired
that if numbers are introduced to the first two groups, the sum
automatically appears in group three. In subtraction the
process is conducted by converting the number with the larger
exponent into its complement with respect to 9,999,999. The
other number is introduced to the second group of relays shifted
as required with respect to the exponents. The result, which
appears in the third group of relays, is the complement of the
desired number, and the machine must convert it back into the
number required. Multiplication is performed by repeated
addition, and division is performed by repeated subtraction.
The extraction of square roots is also performed by repeated
subtraction.
The estimated speeds of several arithmetic operations for
seven-digit numbers are given below:
Operation Time, seconds
Addition or subtraction 0.3
Multiplication 1.0
Division 2.2
Square root 4.3
Number transfer from one register to another register 0 . 07
These estimates include the time required to introduce a seven-
digit number into the calculator and place a seven-digit number
(result) in a given register.
Storage. The machine can store 30 seven-digit decimal
numbers. A unit of 62 relays, required to store one seven-digit
decimal number, is called a register; the BTL machine has 44
such registers, 30 for number storage and 14 for performing other
functions. Each computer is also equipped with a register
called a BTL register which serves as a storage medium and
performs special operations such as those of forming block
numbers and computing trigonometric and logarithmic functions.
In this sense, the BTL register is closely related to the permanent
function tables in the machine.
These functions, which are available to the machine in storage,
include sin x, cos x, and tan-1 x. The machine for the Ordnance
Department of the Army contains, in addition to these functions,
log x and 10x.
The setup time has been reduced by provision of more problem
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 191
setup positions than can be used at one time. In the Aberdeen
installation there are two computers, but there are four problem
positions. With this arrangement two problems can be set up
on the two idle positions while the computing equipment is
actively using the other two. As soon as either one of the two
problems has been completed, one of the stand-by problems is
automatically connected in. This automatic feature is one of
the reasons why the Model V computers can be operated on an
unattended basis.
Model VI. The Bell Telephone Laboratories has recently
placed in operation in its Murray Hill, N.J., building a new
digital system called the Model VI. Remote-control stations
are located in the quarters of the computing staffs, and the com-
puting equipment itself is located in another part of the building.
A switchboard cable of the type used in telephone central offices
is used to provide for the exchange of information between the
two locations. The machine contains about 4,300 relays, 86
cold-cathode tubes, and other miscellaneous apparatus. This
machine is a little less flexible than the Model V but is simpler
in design detail. Each number is introduced into the machine
as a three-, six- or 10-digit decimal number times a power of ten
ranging from —19 to +19. The floating decimal point appears
to the right of the most significant digit.
10-2-4. The IBM Pluggable Sequence Relay Calculator.
General. The IBM Corporation developed two models of this
relay calculator7 during the war; they were used at the Aberdeen
Proving Ground during 1944 to 1945. In 1945, three additional
machines, with improvements over the first design, were built.
One of these machines is now at the Naval Proving Ground,
Dahlgren, Va. The other two machines are at the Watson
Scientific Computing Laboratory, Columbia University, in the
City of New York.
Input and Output. This relay calculator operates on numbers
read from punched cards, undertakes a sequence of calculations
by relay networks, and punches the result of these calculations
on cards. The basic operations of the machine are synchronized
with the rotations of a shaft in the card-reading unit. This
shaft rotates at a speed of 100 revolutions per minute. The card
feeds and punches are synchronized to operate within the time of
a single rotation of a shaft. During one shaft rotation, a timing
192 COMPUTING SYSTEMS
circuit generates 48 impulses spaced at 0.0125 second; these
impulses operate the relays. Another timing circuit generates 14
pulses during a shaft rotation which is used to actuate the reading
and punching mechanisms. With this system one impulse for
the card-actuating mechanism is equivalent to 3% relay impulses.
Arithmetic Operations. The operations of addition and sub-
traction require two impulses and three relay groups, one for
the augend, one for the addend, and one for the sum. If suc-
cessive additions or subtractions involve the same relay, four-
group relay impulses are required. Multiplication is performed
in a manner similar to that used in the IBM multiplying punch,
Type 601 (see Chap. 9). Division is performed by subtracting
the divisor or 5 times the divisor from the dividend. In division,
the dividend is shifted to the left after the completion of each
subtraction operation in one position. The process of subtrac-
tion consists in adding the complement of the number to be
subtracted. The capacity of this calculator for division allows
for six figures, 12 digits in the dividend, six in the divisor, and 10
in the quotient; the time for division is approximately 0.2 second
per quotient digit. The extraction of a square root is performed
by successive additions of odd numbers to the complement of the
original number. In the square-root process the capacity of the
calculator is 12 digits in the original number and six digits in the
square root.
Storage and Control. The machine has a total of 36 storage and
computing registers. The normal capacity of the machine is
six-digit decimals, although higher precision than this may be
obtained with sequence operation. In conjunction with the
punched cards the plugboard facilities connected with the
machine allow operations to be performed in parallel rather than
the straight sequence operation resulting from punched-tape
input. In comparison with the standard IBM Calculating
Punch (see Chap. 9 for greater detail), this calculator has a
higher operating speed. It is approximately ten times as fast
as the calculating punch.
The sequence-control operations can be initiated by a pluggable
sequence and also by the punches on the cards. Actually the
pluggable sequence on the control panels starts the operations.
In this system, there are 96 sequence relays connected to the
plugboard so that the impulses through these relays can be used
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 193
for control purposes. The relays operate in succession; for a
complete sequence of 96 relays to be operated, the time required
is two shaft rotations of the basic drive, or 20 milliseconds. In
cases where double operations occur, such as multiplication and
addition, whose orders are required to be read from the card and
whose results are to be printed on the card, the machine may be
controlled to operate at 50 cards per minute through the reading
and punching units.
10-3. Electronic Computing Systems in Operation
In order that more complicated physical and mathematical
problems may be solved in an economical time interval, the unit
operation time for automatic computing systems15,20 must be
decreased wherever possible. By using electronic vacuum
tubes for switching, storage, and for arithmetic operations, a
saving in time in these functions of several orders of magnitude is
effected over similar devices using electromechanical relays.
It is probable that, for some time to come, input and output
mechanisms using data punched on cards or paper tape or
registered as dots on film or as marks on a magnetic medium
will have to be employed. Although such physical systems
operate at inherently slower speeds than electron vacuum tubes,
their use is not as stringent a time-limiting element as would be
thought at first. For solving highly complicated mathematical
problems, which may represent in reality the interaction of
many physical parameters, it is desirable that the computer
retain as many intermediate results as possible during the com-
putation. This can be accomplished in an electronic computer
if mechanical devices are avoided for use as intermediate storage
mediums. For example, there would be no reason for employing
high-speed electronic arithmetic circuits if numbers and commands
are presented to or abstracted from them by devices whose unit
operation time is much slower than that of the electronic vacuum
tube. If mechanical devices are limited in their application
only to the initial input numbers and commands and to the final
registration of completed results and if switching, gating, and
arithmetic operations are conducted at speeds which are of the
same order as electronic-vacuum-tube operation, the computer
may carry out thousands of calculations within itself before
arriving at a result worthy of physical representation outside
194 COMPUTING SYSTEMS
the machine. In such a calculation the machine may perform
a large number of arithmetic operations; it may construct func-
tion tables or generate new numbers and orders in sequence; it
may also store intermediate results and draw upon them when
required. Such a procedure would warrant the complicated
electronic circuitry which speed and the consequent reduction of
calculating time demand. Although with present input mecha-
nisms it requires a considerable length of time to code, instructions
and numbers for input to the machine, the total time for
these operations may be made feasible if the machine can carrj/
out calculations a thousand times as fast within itself; in the
same way a mechanical output, either a punch or a printer,
must not hold up the internal functions of the calculator. For
each number punched or printed, there must be at least 1,000
operations performed electronically within the machine. If the
machine presents data to the output faster than this, an inter-
mediate-speed storage mechanism is then required for protecting
the computer against slow-output intrusions upon its high-speed
capabilities. The intermediate storage effectively changes the
time scale from that within the computer to that outside of it.
10-3-1. The ENIAC (Electronic Numerical Integrator and
Computer). General. This computer was developed at the
Moore School of Electrical Engineering, University of Pennsyl-
vania. 12'16'23 It was first demonstrated to the public in February,
1946, and was transferred in 1947 to the Ballistic Research
Laboratories, Aberdeen Proving Ground.
The ENIAC is used, essentially, as a general-purpose com-
puter. As an example which can be regarded as an illustration
of the upper limit of its capabilities, it can be used to solve the
system of five simultaneous hyperbolic partial differential equa-
tions describing flow around a body of revolution. For each case
{i.e., each different mach number and set of shape parameters)
this problem takes the machine about an hour.
The ENIAC is the first large-scale machine to make use of
electronic circuits for general operations except for input, out-
put, and certain switching functions. There are 40 separate
panels arranged in a U configuration with a total of approxi-
mately 1,500 electromechanical relays and 18,000 vacuum tubes.
As was indicated by the footnote on page 35, the program-
ming philosophy of the ENIAC has been modified since it was
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 195
first installed at the Ballistic Research Laboratories. The
machine itself has not been modified except by the addition of a
converter. This unit decodes pairs of decimal digits and, for
each pair of decimal digits, energizes a unique output cable.
There are 100 of these cables.
A signal on any one of the 100 conducting cables which can be
energized by the converter initiates a particular operation. The
portable function tables which were formerly used to store tables
of functions are now used to store sequencing instructions in
addition to numerical data, tables of functions, constants, etc.
Each instruction consists of a pair of decimal digits which are
decoded by the converter unit. The pairs are read one at a time
in accordance with the program sequence.
Each output cable from the converter unit initiates an oper-
ation which has been determined by the arrangement of the
plug connections, and the settings of the switches are called the
background wiring. The background wiring is changed only if
it is desired to redesign the coding.
To instruct the machine, then, it is necessary only to set the
switches on the portable function tables. The operations to be
performed and the sequence in which they are to be performed
are specified by the switch settings.
Input and Output. The numerical data to be introduced to the
machine are first punched on standard IBM cards; these cards
contain 80 columns, each column with 12 punched designations
(see Chap. 9 for details on IBM equipment). Ten of the
punched designations, 0 to 9, are used to represent one decimal
digit. Positions 11 and 12 may be used for representing the
sign of a digit in one column or a group of digits in blocks of
adjacent columns. The 11 and 12 punch holes may then be
used for representing a positive or negative sign for each of
these numbers; it is seen that 16 such punch positions must
therefore be available. The numbers represented by card
punches are then read and stored in relays in the constant trans-
mitter, which makes these numbers available to the various
operating components of the machine when required. In a
similar way, the results which have been calculated by the
ENIAC are punched on cards using an IBM card punch; the
data from these cards can then be printed automatically through
the use of an IBM tabulator.
19G COMPUTING SYSTEMS
Arithmetic Operations. All the units which perform numerical
operations — addition, subtraction, multiplication, division, and
extraction of square root, together with the capacity to obtain
numbers from the machine's storage system — operate by using
electronic vacuum tubes on the flip-flop principle. For addition
and subtraction, the machine makes use of 20 accumulators.
Each one of these accumulators can hold a signed 10-digit
decimal number. An accumulator is capable of receiving a
number transmitted to it and adding this number to the number
which it already contains. Also, on one output channel, the
accumulator can transmit the number stored at any given time.
On another output line the accumulator can transmit the com-
plement of the number it stores. As described in Chap. 3, the
10-stage (decade) ring counter is designed to count pulses in a
one-way progression around the ring. Subtraction of two
numbers, therefore, is most effectively performed with decade
ring counters through the use of complements.
The numerical circuits for the multiplier make use of four
accumulators, or up to six if products with 10 to 20 digits are
required or if the best 10-digit accuracy is required. The units
digits of the partial product of the entire multiplicand by one
digit of the multiplier are transmitted to one accumulator while
the 10's digits are transmitted to another accumulator. For
example, to multiply 567 X 234 the machine first multiplies
567 X 4. A novel method, which is much faster than the normal
multiplication by successive additions, is employed in accumu-
lating this partial product.
The units digit of the product of 7 X 4 or 8 is transmitted to
one accumulator and the 10's digit or 2 to another. Similarly
the units digit of the product of 6 X 4 or 4 goes to the units
accumulator shifted one digit to the left and the 10's digit,
again 2, goes to the 10's accumulator also shifted. As a result
of the multiplication of 567 X 4, therefore, 048 is stored in one
accumulator and 222 in the other. For 567 X 3, 581 is stored
in one accumulator, 112 in the other (shifted with respect to the
numbers already accumulated). Two multiplication tables are
employed; one produces the 10's digits of the required product,
and the other the units digits. When the digits of the multiplier
have been used up, the 10's and units digits of the partial products
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 197
are combined in one of these accumulators to obtain the total
product.
The divider is one panel of equipment which controls neighbor-
ing accumulators so as to perform division or extract a square root.
One accumulator stores the numerator (radicand), one stores the
denominator (or twice the square root), one stores the quotient,
and finally, a fourth accumulator is used for shifting operation.
Division is accomplished by a method similar to that used in some
desk machines. The denominator is subtracted from the
numerator repeatedly until an overdraft appears. The remainder
is then shifted one place, and the denominator is added until this
overdraft is wiped out. The quotient accumulator counts the
number of cycles in each place. The process of extracting the
square root of a number is carried out by a combination of suc-
cessive subtraction and the addition of odd numbers, analogous
to the process used in some desk calculating machines.
Storage. The storage system is composed of units which store
numerical tabular data in electronic circuits; it also contains elec-
tromechanical switches for storing instructions for a specific
problem. There are two additional units, one for initiating
computation, for clearing the machine, and for testing; the other
is a cycling unit which supplies fundamental signals to the
machine and synchronizes their operation. The fundamental
unit of time in the ENIAC is Kooo second; during this period a
pattern or train of pulses is emitted. One cycle is referred to
in the ENIAC as an addition time. The constant transmitter,
for example, requires one addition time to emit a signed five- or
10-digit number.
The pulse width is 2 microseconds and the machine is operated
at about 100 kilocycles per second.
The machine, as now used, has two internal storage systems
from which it can withdraw stored numbers called for by a par-
ticular program of operations. The basic difference between
them is that data can be stored in one of these by the machine
itself; data can be stored in the other only by the operator. As
indicated under the general description of the machine, the port-
able function tables (which are simply resistor matrices) are
used for the storage of numerical data as well as for sequencing
instructions. They comprise the second type of internal storage,
198 COMPUTING SYSTEMS
in which data can be inserted only by the operator. The other
storage system consists of accumulators.
10-3-2. The IBM Selective Sequence Electronic Calculator.
General. This calculator, developed by the International Busi-
ness Machines Corporation,19 was put into operation in January,
1948. It combines electronic-vacuum-tube techniques and
electromechanical relays. Vacuum-tube circuits are employed
for arithmetic processes and for high-speed storage, switching,
and other control orders. Relays and punch tape form secondary
storage units.
Input and Output. The instructions are introduced to the
machine either from the standard 80-column IBM cards or from
continuous card-stock tapes. The keyboard punch for these
tapes may be operated manually by keyboard or may be operated
automatically by punched cards. The punch converts a decimal
number into its binary equivalent, which is then handled by the
calculator. The card-stock tape is approximately the width
of the long dimension of the standard IBM card, allowing 80
perforations per line across the tape. This provides ample space
for representing a 19-decimal-digit number together with alge-
braic sign across one line of the tape. The results of machine
calculations can be punched on standard IBM cards or can be
printed in tabular form. If it is required, both methods may be
used. The digits can be punched on standard IBM cards at
the rate of 1,600 digits per minute and can be printed in tabular
form at the rate of 2,400 digits per minute.
The operating instructions for the machine are read from
punched tapes, and groups of commands are delivered at the
rate of 50 command groups per second to the machine. Since
these commands must be synchronized with the accepted arith-
metic transfer and storage operations, a 20-millisecond delivery
rate appears entirely feasible in view of the electromechanical
devices whose operating characteristics must be tied in with the
other machine components. The array of orders and numbers
on input tapes does not appear to differ greatly in procedure
from other machines which employ punched-tape feeds.
Arithmetic Operations. Addition, subtraction, multiplication,
and division are performed by electronic-vacuum-tube counting
circuits. The representation of the numbers in the machine is
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 199
not specified, but it is stated that this calculator contains more
than 100 electronic counting units which can be combined for
arithmetic operation to add or subtract two 19-digits in less than
10 milliseconds. The electronic counting units will multiply
two 14-digit numbers to give a 28-digit product in 20 milli-
seconds. For division these units may be combined to allow
the division of two 14-digit numbers to give a 14-digit quotient
in about 30 milliseconds. Provision for handling decimal points
and indicating the algebraic sign of each number is made.
Storage. The internal storage capacity of the machine totals
400,000 digits and is divided among electronic, electromechanical,
and punched-tape units. In electronic storage there are eight
units, each of which can store one 19-digit decimal number with
algebraic sign. About 3,000 digits (150 numbers) can be stored
in the electromechanical relay units. Punched-tape units can
store up to 396,800 digits (20,000 numbers).
The punched-tape storage system comprises three units,
each with a punching unit for the card-stock tapes and each with
10 reading stations. The total of 30 reading stations may be
combined in a number of ways to permit their use on individual
or specific problems. On a single line of punching on the tape,
it is possible to store 19 digits and indicate the algebraic sign of
the number.
For the table-consulting function, the machine is provided with
a group of 36 reading stations additional to those identified
with the storage system. These reading units are used to
locate specific information on any of the 36 punched tapes flowing
through each reader. Since each of the 36 reading units may
have a tape with capacity for 150 19-digit numbers, the total
capacity for the tabular system is 5,400 numbers, or 102,600
digits. These units may be combined so that a maximum of
38 digits with algebraic sign may be made out. The access
time for this table or for searching the 36 tape units is about
3 seconds. Approximately 160 milliseconds is the time for the
tabular unit to find a particular value in an eight-place sine table.
In the arrangement of the tabular information, on punched
tapes, the values of the argument of the function with variable
intervals may be used, which in some cases may allow the use
of fewer tabular values. In addition to the punched-tape
200 COMPUTING SYSTEMS
storage, intermediate results, which may not be required for
reintroduction into the machine for a considerable length of time,
may be stored on IBM cards.
10-3-3. Harvard Mark III Calculator. At the time of this
writing the Mark III is in operation at the Harvard Computation
Laboratory where it was built for the Navy Bureau of Ordnance
for eventual installation at the Dahlgren Proving Ground. This
machine was made available for inspection by visitors during the
Symposium on Large-Scale Digital Calculating Machinery which
was held at Harvard on September 13 to 16, 1949, under the
joint sponsorship of the Bureau of Ordnance and Harvard
University.
The plans for the Mark III computer were discussed by Dr.
Aiken at the 1949 IRE National Convention. The Mark III
was designed to provide greater speed and reliability, more
flexible storage facilities, and greater ease of preparation of
input data than were found in the earlier Harvard Computers.1
It was planned that the Mark III would use a magnetic drum
for storing 4,000 orders and that 30 types of basic circuits would
be incorporated into plug-in units, with color coding, for ease of
maintenance.2
A preliminary description of this machine by B. L. Moore will
be found in Proceedings of a Second Symposium on Large-scale
Digital Computing Machinery (Harvard University Press), which
is in preparation at the time of this writing.
10-4. Electronic Computing Systems in Design or under Devel-
opment
The following electronic computing systems, in various stages
of development, advanced design, or preliminary consideration,
have been outlined here to indicate the trend in component use
and the integration of those components into automatic sequence-
controlled computers.
10-4-1. The EDVAC (Electronic Discrete Variable Com-
puter). General. This computer is the second high-speed
electronic digital machine which has been constructed at the
Moore School of Electrical Engineering at the University of
Pennsylvania.24 Although the entire calculator has not as yet
been operated as a unit, many of the components have already
been tested successfully, and the scheme of operation has been
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 201
assured. From point of size, the EDVAC occupies much less
space than the ENIAC and is constructed with panels 7 feet high
occupying some 140 square feet of floor space. The number of
electronic vacuum tubes in the EDVAC is only about 3,500,
roughly one-sixth the number employed in the ENIAC. Out-
side of the method for programming, in which a serial rather
than a series-parallel arrangement appears to be the goal, the
principal difference lies in the use of acoustic delay lines for
internal storage of numbers. The EDVAC is designed to handle
44-digit binary numbers.
At the time of this writing, the EDVAC has been accepted by
the Ordnance Department, Department of the Army, and has
been installed at the Ballistic Research Laboratories at Aber-
deen, Md. where it is now undergoing extensive tests.
Input and Output System. As originally designed, binary
digits (representing numbers and commands in four-address code)
were intended to be read into and out of the machine on magnet-
ized wire. This method was found to be unreliable, and teletype
tape will be used as an interim input-output system.
Storage. The EDVAC uses acoustic delay lines for high-
speed storage; 126 mercury delay lines will provide storage
capacity for 1,024 44-digit binary numbers. A single delay
line will circulate eight numbers each of 44 binary digits. The
pulse width is 0.3 microseconds (as compared with 2 micro-
seconds in the ENIAC), and the repetition rate is 1 megacycle
per second.
Arithmetic Unit. Addition, multiplication, and division are
built into the computer; these operations are based on the serial
handling of digits. Total addition time, including transfer of
numbers, is about 1 millisecond; multiplication and division
require about 3 milliseconds. Double precision multiplication
and division are built into the arithmetic units, enabling the pro-
grammer, at his option, to perform operations yielding 88-digit
results. A higher degree of precision can thus be achieved if
desired. Checking is provided for by the simultaneous use of
two algebraic units with inputs to a comparison unit.
10-4-2. Electronic Computing Instrument (Institute for Ad-
vanced Study). General. Preliminary information concerning
the design of an electronic digital computer has been recorded
by Burks, Goldstine, and von Neumann.6 The planning and
202 COMPUTING SYSTEMS
coding of problems for such a computer have been treated by
Goldstine and von Neumann.13,14 It is not intended here to
deal with the details of the electronic circuits or of the functioning
of any given unit within this machine except as required to
understand the principles of operation and the role to be played
by each unit within the machine.
In the preliminary exposition describing the design of an
electronic computer the authors indicated that a fully automatic
general-purpose computing machine requires a storage system, a
control unit, arithmetic unit, and input and output units. At
the time of this writing, a storage capacity of 1,024 numbers,
each of 40 binary digits, has been decided upon as an interim
solution to this particular design question, although 4,000 or
more would be desirable. The computations which have been
considered in order to arrive at this figure include the solution of
(1) total differential equations, (2) partial differential equations
of the elliptic, parabolic, or hyperbolic types, and (3) problems
involving solution by iterative processes including systems of
linear algebraic equations.
Input and Output. The numbers and orders to the computer
will first be coded on punched paper tape using modified teletype
equipment. These coded numbers will then be transferred by a
conversion unit to marks on a magnetic wire. Numbers and
orders in this form are then introduced to the computer elements.
For output, the numbers registered on the magnetic wire by the
computer are transferred to punched paper tape. Some of the
units for handling the punched paper tape in this input-output
system were developed at the National Bureau of Standards.
Storage. The proposed machine will have an electrostatic
storage system consisting of a bank of Williams tubes (of the
type described in Chap. 14 on pages 366-369). Test operations
with cathode-ray tubes as electrostatic storage elements have
already been conducted using the Williams technique.
The Arithmetic Unit. The arithmetic units will operate in a
parallel manner on binary numbers. At the time of this writing,
an accumulator with capacity for 11 binary digits has already
been tested, and the 40-stage arithmetic unit is now virtually
complete and has already undergone extensive tests.
The bank of Williams tubes operating in parallel as a storage
system should make possible a very high total arithmetic speed;
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 203
total addition time is expected to be of the order of 90 micro-
seconds for two 40-digit binary numbers (including the time
required to withdraw three numbers from storage and to return
one), total multiplication time approximately 300 to 400
microseconds.
10-4-3. The UNIVAC (Eckert-Mauchly Computer Corpora-
tion). General. The UNIVAC is a high-speed electronic com-
puter8 making use of acoustic-delay-line and magnetic-tape
storage. At the time of this writing, practically all production
drawings have been completed, and the first of six UNIVAC
systems is now under construction. All portions of this system
which are not similar to the BINAC (the computer built for
Northrop Aircraft, Inc., by the Eckert-Mauchly Computer
Corp.) have been laboratory tested in one way or another.
The basic pulse rate for all internal circuits in the UNIVAC
is 2.25 million pulses per second. The computer handles char-
acter groups of 12 characters each; one such group is usually
made up of 11 decimal digits and algebraic sign, but alphabetic
letters and punctuation marks are also acceptable characters.
The high-speed storage capacity is 1,000 character groups. Mag-
netic tapes store an additional 106 groups under computer control.
Input and Output. The instructions, and numerical or other
data, are introduced to the computer by signals coded on metallic
eight-channel magnetic tapes. More than 106 characters
(decimal digits, letters, or other typewriter symbols) may be
recorded in binary form on one reel of such tape 1,200 feet long,
J<2 inch wide, and less than 2 mils thick. The reels are approxi-
mately 8 inches in diameter. A keyboard resembling a type-
writer keyboard is used as the input to the apparatus which
records the coded signals on the magnetic tape.
Normally, provision is made for computer connections to 10
servo units, each of which controls one reel of tape. Altogether,
more than 107 decimal digits (or other characters) can therefore
be made available to the computer at one time for automatic
use. The tapes may be fed in either direction past the magnetic
heads. Any tape may be used for input or output at any time,
and both input and output functions may be overlapped with
computing. Automatic interlocks are used to ensure that only
one tape functions as input at a given time and only one tape as
output at a given time.
204 COMPUTING SYSTEMS
Instructions for rewind are of two kinds. One allows reuse of
the same tape in the problem when called for by further instruc-
tions, and the other sets an interlock which is not released until
an operator changes the tape. The latter feature is of importance
in handling large statistical problems where the data exceed 107
characters, and also in avoiding reel-changing setup time between
problems. Results recorded on magnetic tape can be printed
on a special typewriter (with continuous paper feed) which is
automatically controlled by the coding on the tape.
Storage. High-speed and low-speed storage units make use
of mercury delay lines and magnetic tape, respectively. The
acoustic storage unit has 100 channels and an inherent capacity
(counting the spaces between digit groups) of 91,000 binary
digits.
Of the 10 magnetic tape reels for which servo controls are
normally obtainable, the user may allocate as many as he wishes
to instructions, input, output, or temporary storage. These
allocations may vary within the same problem if desired. Actu-
ally, all the instructions needed for a great many different prob-
lems could be put on one tape reel.
Approximately 2,000 blocks, of 720 characters each, can be
stored on one reel. Each input or output instruction transfers
one such block of information at a rate of about 800 12-character
groups per second. (This corresponds with a transfer rate of
about 70,000 binary digits per second.)
Within the high-speed storage, special transfer instructions are
provided for handling two consecutive groups which are stored in
a single acoustic channel.
Arithmetic Operations. Addition or subtraction of a number
is executed in less than 600 microseconds ; multiplication requires
about 2,500 microseconds, and division less than 4,000 micro-
seconds. (These times include allowance for obtaining the
instruction itself from storage.) Either a 22-digit product may
be obtained or an 11-digit product with proper round-off, accord-
ing to the instruction used.
Supervisory Controls. A typewriter keyboard and automatic
printer are directly connected to the UNIVAC computer for
supervisory purposes. This permits manual control of computer
operations, modification of programs for test purposes, auto-
matic printing out of brief indications of progress in long com-
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 205
putations, etc. A panel of selector switches and indicator
lamps is included; when a stoppage due to a failure to satisfy the
automatic checking circuits occurs, the nature of the failure is
indicated, and further diagnosis and remedy are facilitated by
use of the selector switches.
Pulse Code. The code for every character contains 7 binary
digits. One is the check digit. Two others are used for indicating
nonnumerical characters and are always zero for decimal digits.
The last four correspond, in the case of a decimal digit, to the
binary equivalent of the decimal number plus three. Thus, the
last four digits of the code for 7 are 1010. In Sec. 13-4-5, this
excess-three code is used as an example of one system for repre-
senting decimal digits in binary notation and some properties
of the system are mentioned.
The check digit is always chosen to make the sum of the binary
digits odd. Hence, the complete 7-digit code for 7 is 1001010.
When the second or third digit from the left is nonzero, the
code represents a nonnumerical character. The check digit is
still chosen as before, to make the sum of the binary digits in
the 7-pulse group odd. This checking code is used throughout
the computer, both in high-speed circuits and on the magnetic
tape.
Checking. During all transfers, within the computer and to
and from magnetic tape, special circuits examine every character
(7-pulse group) to see that it is odd. If it is not, computer
operation is arrested and an error indication given. Circuits
for arithmetic operations are duplicated, and the outputs of the
duplicate units compared. If the outputs are not identical,
computation is stopped and an appropriate indication given.
Periodically, every character group in the acoustic storage is
scanned to check that its digits are odd, so that defects in the
storage circuits will be found almost immediately even though
the computing routine has not yet had occasion to call upon the
defective register. The time required to carry out this periodic
check is negligible. The time interval between such periodic
checks is short enough to make the probability of making two
compensating errors effectively zero. Some other checking
methods are used in the tape recording device (UNITYPER) and
the automatic printers (UNIPRINTERS).
Alarm-type fuses (Western Electric), similar to those used in
20G COMPUTING SYSTEMS
the ENIAC, are used in all distribution lines for d-c power, and
a blown fuse will cut off all d-c power. Problems can be so
programmed that a shutdown, either from a blown fuse or from
external power failure, does not require starting the problem
over from the beginning.
10-4-4. The SDC Raytheon Computer (The Raytheon Manu-
facturing Company). The Raytheon Manufacturing Company
has started to work on a high-speed digital computer4 for the
Special Devices Center of ONR. This machine uses mercury
delay lines for internal storage and magnetic tape for external
storage.
Input and Output. Problems are introduced to the machine on
coded magnetic tape. The code is generated by means of a
manually operated keyboard. The magnetic tape can store
either decimal numbers in binary code or binary numbers in the
octal notation. Through the use of the octal notation, three
binary digits identify each digital position. With the use of
this number system the conversions from the binary to the octal
and from the octal to the binary are made simple. Associated
with the keyboard device is an input page printer, which prints,
for visual observation and record, the information which has
been introduced to the machine.
The numerical output of the machine is recorded on magnetic
tape and is then distributed to one of two output printers.
The output data are normally in decimal form, although binary
numbers can be printed in the octal notation.
Storage System and Number Representation. The SDC Com-
puter is capable of handling several different kinds of numbers.
In standard operation it can store numbers to a precision of
35 binary digits with fixed binary point. The basic arithmetic
operations are carried out to a precision of 35 binary digits. It
is also possible, however, to store and manipulate numbers of
70 binary digits as pairs of standard numbers. Conversions
from decimal to binary notation and from binary to decimal nota-
tion are performed in the arithmetic unit and not by separate
equipment. This requires that decimal numbers be stored in
the internal, or acoustic-delay-line, system. The storage
capacity per number in the storage system, which accepts num-
bers in binary-coded decimal notation, is eight decimal digits.
The internal storage will have a capacity of 1,152 numbers;
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 207
each is represented by 35 binary digits with algebraic sign and is
characterized by a check number. Three different types of
operation are performed by this storage system: the writing of
new numbers into the system, the reading of current information
in the storage unit, and the erasing of information to prepare
the internal storage for introduction of new numbers. With
acoustic storage, numbers are circulated through the delay line
in serial order and are regenerated by an electronic circuit which
reintroduces them to the acoustic delay line. The pulse repeti-
tion rate is 3.7 megacycles per second, and each number requires
42 pulse positions. The time duration of one number is there-
fore 11.25 microseconds. The acoustic delay lines, however,
will store 32 numbers per channel so that a complete cycle
through the acoustic delay line requires 360 microseconds.
Thirty-six acoustic-delay-line channels are required to provide
capacity for 1,152 numbers (32 with the main storage, plus a
buffer reservoir housed with each of the four external storage
units). The external storage consists of four identical self-
controlled units each of which contains one magnetic-tape mecha-
nism capable of storing 105 numbers. The tape on any individual
external storage unit may be scanned at the rate of about 500
numbers per second. From the design characteristics it may
require, in the most unfavorable cases, as long as 2000 seconds
to read a given number out of the external storage unit. This
premium on time for reading from the external storage may
require the rearrangement of data before they are placed into
the machine so that the external storage unit presents recorded
information at the right time and in the correct sequence for
machine use. Each tape unit in the external storage unit has
associated with it two 32-number acoustic delay lines, which
are employed as buffers between the tape and the main electronic
part of the machine.
The transfer and storage of numbers in both the acoustic delay
lines and the magnetic-tape storage unit are checked by means
of a weighted count. This is a weighted sum of the digits of the
number. This weighted sum is computed modulo 16 and is then
modified by the addition of 1. A number to be checked and its
weighted count cannot therefore be zero simultaneously, so
that a null number is not a valid one. By this check, the failure
of a gate or other device controlling the transfer will be detected.
208 COMPUTING SYSTEMS
Arithmetic Unit. The arithmetic unit of the SDC machine
performs the arithmetic processes of addition, subtraction, mul-
tiplication, and division. This unit can also generate new num-
bers or new orders; the ability to generate new numbers differ-
entiates the arithmetic unit from all the other units of the
machine whose functions are purely passive. The arithmetic
operations are performed by electronic-vacuum-tube techniques.
The numbers in the arithmetic unit are handled by using a
parallel representation, the various digits of the number being
stored in separate flip-flop devices. This requires that the trans-
formation of a number from storage to the arithmetic system
be performed by series-to-parallel representation of the digits in
each number.
The arithmetic unit can also perform basic operations on either
numbers or commands introduced to it. The latter initiate the
transfer of numbers from one storage position to another, the
shift of a number, and the extraction of any given number of
digits from a number.
The process of addition is performed in a straightforward way
in this parallel representation. Subtraction uses the same
process as addition after the complement of the subtrahend is
taken. A convenient method for taking the complement makes
use of the ability in the binary notation to replace all the digits
in the subtrahend consisting of 1 by 0, and 0 by 1. This com-
puter takes complements on 2 — 2-35. Multiplication of two
35-digit numbers results in the accumulation of the complete
70-digit product in two of the arithmetic registers. Either
35-digit section, or both sections, of this number can be used for
subsequent calculation. In division, both the quotient and the
remainder are available in two registers.
All arithmetic operations are checked by means of an arith-
metic weighted count so that the failure of any unit of the
arithmetic system can be verified.
10-4-5. ERA Computer (Engineering Research Associates,
Inc.). Engineering Research Associates, Inc., also has com-
pleted and submitted to the Bureau of Standards a preliminary
design for a general-purpose electronic binary computer.10 This
design incorporates a magnetic drum9 for the internal storage
of numbers and orders. The general characteristics of the
proposed machine include: punched-tape input, arithmetic, and
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 209
coding operations11 to be conducted by electronic vacuum tubes,
binary digit representation, magnetic-drum storage, and punched-
paper-tape or printed output. The machine is capable of
handling 30-digit binary numbers and has a storage capacity of
4,096 30-digit binary numbers.
Input and Output. Numerical data and instructions for
machine operation are introduced to the machine by coding
on a seven-hole punched paper tape. This tape is prepared by
manual operation of a keyboard translating unit which operates
a standard seven-hole tape punch. The numerical data occupy
six tracks on the tape; the coding for control of input operations
occupies the seventh. For introducing a 30-digit number to the
magnetic-drum storage, five consecutive lines in each of the six
levels or tracks on the punched tape are used. Each track,
therefore, supplies successively five digits to the drum. The
30 digits on the magnetic drum may therefore be considered to
be divided into six groups of five digits each. The first line or
consecutive group of punches in each of the six tracks introduces
a digit into the extreme left position of each of the groups of
numbers into which the magnetic drum is divided. The second
line or group of punches on each of the six tracks supplies digits
to the digit positions immediately to the right of those previously
filled. This procedure is continued until 30 binary digits are
registered in a row across the magnetic drum.
The punched tape is read by a photoelectric scanning mecha-
nism capable of reading 150 lines per second. To introduce
4,096 30-digit binary numbers requires approximately 2.3
minutes.
The seventh track, containing the control code for directions
and for checking operations sequentially, is divided into con-
secutive lines each composing a frame. These five lines are
designated a, b, c, d, and e. Four phototubes read the seventh-
track control code. These four tubes follow a binary coding
which then identifies the operation directed by that line of tape
perforations.
The output section of this computer contains a unit for trans-
mitting data from the magnetic storage to punched paper tape
or to an electric typewriter for printing. The electric typewriter
then prints characters or numbers in base 10; the perforator
punches six digits as a line of data on six- or seven-hole tape.
210 COMPUTING SYSTEMS
Storage. This computer has storage for 4,096 30-digit binary
numbers. These digits are stored on magnetic tape which is
contained on the circumference of a cylindrical drum; the drum
is capable of continuous rotation, and the magnetic representa-
tions for 0 and 1 are recorded, read, and erased while the drum is
rotating. The drum contains two groups of 30 parallel tracks;
each track can store 2,048 digits around the circumference of the
drum. Each group is therefore equivalent to an array of
numbers of 30 columns and 2,048 rows; this array of numbers
may be thought of as being wrapped around the circumference of
the drum so that the first row is in a position equivalent to row
2,049. Each of the 2,048 rows in this array contains a 30-binary-
digit number, and all the digits in a 30-digit number lie in different
columns. The location of a number in this storage system,
therefore, is performed by locating the row or box containing the
number. A 12-digit binary number called the address char-
acterizes this location. The leftmost binary digit identifies one
of the two groups of tracks; the remaining 11 digits determine
one of the 2,048 (211) rows or angular positions of the drum.
There are, additionally, 11 tracks used for number location and
two tracks for the timing and control of storage operations.
The group of 11 tracks for location contains 2,048 permanently
recorded 11-digit binary numbers, each number designating an
address of one of the 2,048 rows.
Above each of the 60 tracks is a magnetic head capable of record-
ing, reading, and erasing the information contained on the track.
As the drum rotates, the two groups of 30 heads read two 30-digit
numbers simultaneously, the sequence of such patterns repeating
themselves every drum revolution. Associated with the reading
of the information of each track is a group of 60 storage-reading
amplifiers for reading signals from the selected group of storage
tracks and for causing the number read from a particular position
to be transmitted to a specified destination in the computer.
Storage-reading amplifiers for three sets of output gates direct
the numbers to the X register, to the program-control registers,
or to the print or punch register.
Arithmetic Section. The arithmetic section performs the
operations of addition, subtraction, multiplication, division, and
transfer. This section contains three principal components:
the X register (X), the Q register (Q), and the accumulator (A).
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 21 1
The computer performs all its operations on binary numbers in
the X and Q registers, capable of handling 30-digit numbers.
Negative numbers are represented as complements on 230 — 1.
In the accumulator, however, which has capacity for 60 digits,
negative numbers are represented as complements on 260 — 1.
The extreme left digit in each register and in the accumulator is
used to designate the sign of the number in the register; a 0
represents a positive number; a negative number is represented
by 1.
In the accumulator, the sum, difference, product, or remainder
is formed, together with other arithmetic operations. The
operation of the accumulator is essentially subtractive. This
means that everjr number transmitted to the accumulator is
automatically subtracted (modulo 260 — 1) from the number
previously there. A number is added into A by transferring
its complement to A.
A number in A may be shifted to the left by as many places
as required from 1 to 59. This can be done by a single command.
If a number is shifted to the left five places, for example, the digits
dropped from the extreme left end appear in the same relative
order in the digit positions at the extreme right which have been
left vacant by this shift. In this sense, the shift of position of a
number in the accumulator is circular.
Since the accumulator contains a 60-digit number and since the
operation of the accumulator is essentially subtractive with
respect to the number introduced, the accumulator contains
input gates which convert the 30-digit numbers transferred from
the X or Q registers to the appropriate kind of 60-digit number
for induction to the accumulator.
The Q register performs several arithmetic and logical opera-
tions. In division, for example, the quotient is formed in Q,
and in multiplication the multiplier is held in Q. Since it has
bilateral communication with the accumulator, the Q register
may also be used as a rapidly accessible storage for one 30-digit
number.
The X register is principally used to receive numbers trans-
mitted from the magnetic-drum storage system to the arithmetic
section. The X register has no adding or digit-positioning shift-
ing property. The addend, the subtrahend, the multiplicand,
or the divisor is held in X during the corresponding arithmetic
212 COMPUTING SYSTEMS
operations. The number in the X register or its complement
may be subtracted into the accumulator.
The arithmetic section also contains a unit known as the arith-
metic shift counter for counting the number of places by which
numbers are shifted in the Q register or in the accumulator.
The arithmetic shift counter counts modulo 60.
Program-control Section. The program-control section directs
the execution of instructions required in the performance of a
mathematical operation. This program of instructions is
introduced to the machine and is contained in the magnetic
storage system. The program instructions for each operation
are expressed as an aggregate of 30 binary digits. In this form,
of course, the digits may be stored and transmitted as numerical
quantities. Sequential operations in this coding system may
be seen by examining the structure of the 30-digit command
number. For example, the right-hand 12 digits of a 30-digit
instruction represent y, the execution address. This identifies
the box in the magnetic storage system which contains the orders
for carrying out a particular instruction. The next 12 digits
to the left represent the program address which identifies the
box containing the next instruction in the program. The
remaining six digits to the left represent the command code.
This code directs the machine to execute one of the 39 commands
which the machine understands.
Associated with the program-control section are three com-
ponents which receive the three parts of the 30-digit command
instruction. The execution address is received in the execution-
address register. The program address instructing the machine
on the next operation is received in the program-address register,
and the command code of six digits in the command-translator
switch. This switch energizes one of its 39 output leads appro-
priate to a given six-digit code.
The program-control section also contains an end-point counter
whose primary function is the counting of the number of repetitive
routine operations which have been undertaken in a program.
The machine is capable of undertaking 39 operational com-
mands. Without going into detail with respect to each of the
39 commands, it is considered sufficient here to enumerate the
number of commands in each of the principal categories. For
example, there are 12 additive commands, seven commands
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 213
relating to the transmission of data between the accumulator
and the magnetic storage system, five commands relating to the
transmission of data into and out of the Q register, six commands
relating to the arithmetic processes of the arithmetic sequence
control, five test commands, and four commands relating to the
print/punch register and the termination of machine operation.
The main program control and the arithmetic sequence control
operate at a rate of 400,000 pulses per second. This basic fre-
quency is supplied by a clock-pulse generator. The shifting of
digit positions in the Q register and in the accumulator is per-
formed at this rate. The addition cycle in the accumulator is
3 cycles of the basic clock frequency, or 3 X 7.5 microseconds.
A new number may therefore be transmitted to the accumulator
every 7.5 microseconds, or a number which has been transmitted
to the accumulator may be shifted in position after a time of
7.5 microseconds.
10-5. Applications of Large-scale Digital Machines
Large-scale digital machines can be applied to the solution
of a variety of mathematical problems relating to the fields of
physics, chemistry, applied mathematics, mechanical and
chemical engineering, statistics, astronomy,41 and the biological
sciences. The following is a broad classification of equations
whose solutions may be obtained by digital techniques :
10-5-1. Systems of Linear Algebraic Equations. These equa-
tions occur frequently in problems relating to vibration, chemical
analysis, the control of chemical processes in weather problems,
and in statistical analysis. In this class are included tech-
niques 26~~30,44 for finding characteristic solutions of matrix
equations;33 these matrix relationships occur in quantum-
mechanical calculations and also in classical physics dealing with
vibration of independent or coupled systems.
10-5-2. Harmonic Analysis. The determination of coeffi-
cients and terms in harmonic series has particular importance
in celestial mechanics, in radiation problems, and in the deter-
minations of crystal structure from x-ray-, electron-, and neutron-
diffraction data.
10-5-3. Mathematical Tables. Several examples of the use
of large-scale digital machines in the preparation of mathe-
matical tables may be found in References 27, 36, 40, and 41.
214
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216 COMPUTING SYSTEMS
10-5-4. Propagation Problems. This field includes the solu-
tion of total and partial linear differential wave equations where
boundary conditions and damping may be important. In the
propagation of electromagnetic waves, the solution of the wave
equation is important for the design of antennae and waveguides
of various geometries and shapes. For example, the solution of
the wave equation is required to be obtained in elliptic cylinder
coordinates. In this coordinate system the wave equation may
be transformed into Mathieu's equation. The mathematical-
tables project of the Bureau of Standards has recently calculated
the characteristic solutions of Mathieu's equation in regions of
useful application to physical problems.
10-5-5. Flow Problems. This field of problems 32-36-38'39
includes the analysis related to the flow of compressible fluids in
subsonic, transonic, and supersonic speed ranges. The solution
of differential equations describing fluid flow is made increasingly
difficult when consideration is given to turbulence and viscous
effects in a compressible fluid. Because of the increasing
importance of both the transonic and supersonic speed ranges,
it is necessary that solutions of these equations be obtained in
order to provide an interpretation of experimental phenomena
and a guide for future research and development on high-speed
flight and on the design and testing of missiles required to
operate near or above the speed of sound.
Closely related to the above field of problems is the solution
of equations describing the flow of heat, either as a steady-state or
a transient phenomenon,44 in bodies of complicated shapes.
Cooling problems connecting the heat flow through a surface
with compressible fluid flow along it are closely related to the
solution of problems of the utmost importance in the engineering
and design of high-velocity missiles.
10-5-6. Problems in Nonlinear Mechanics. Problems occur
in the field of electrical and mechanical vibrations, in the study
of shock-wave propagation, in stability studies, and in the
behavior of control systems such as servomechanisms, torque
amplifiers, etc., to which large-scale computers may be applied.
10-5-7. Integral and Integro differential Equations. Solu-
tions of differential equations describing boundary-value prob-
lems may be performed more readily at times by transforming
the differential equation into an integral equation. In certain
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 217
cases the integral representation of the differential equation may
assume a very simple form. The integral methods using Fourier
and Laplace transforms will adapt certain types of differential
equations to immediate solution. In dealing with more com-
plicated physical problems, however, a machine calculation in
numerical integration may be required. It may also be conven-
ient to express a physical system as an integrodifferential equa-
tion. Both types may require a sufficient number of points
to be calculated as to necessitate the use of a large-scale digital
machine.
10-5-8. Evaluation of Multiple Integrals. It is frequently
required in problems relating to physics, chemistry, astronomy,
and other branches of science that the numerical value for double
and triple integrals is desired. Methods for evaluating these
integrals, essentially extensions of rules developed for single
integrals,34,35 may be used for machine calculation. In problems
connected with statistical mechanics, it may be required to
evaluate the incomplete gamma function between n — 15 to 30
and infinity. For such an application a machine calculation
might be made starting with certain initial values obtained in
Pearson's tables.
In the evaluation of a triple integral, it may be necessary to
perform 1,000 additions of 10-digit numbers which have been
individually computed to provide a value of the integral at
points on a three-dimensional lattice.
10-5-9. Statistical Problems. Many complex problems arise
in the field of statistics.31 These problems relate to personnel
location, procurement of raw material, import and export
data, census analysis,42 actuarial problems,29 and many others.
Although this field of machine application involves the per-
forming of the basic arithmetic operations on data submitted
to the machine, it is also of prime importance that the resulting
information be in a form which is capable of statistical analysis.
The calculation required to transform the input data into final
results is a straightforward problem on most large calculating
machines since it involves presenting to the machine numerical
data with orders to operate on those data with arithmetic proc-
esses. Input devices from which data may be handled statis-
tically include punched cards, punched tape, and magnetic wire or
tape in the order of increasing speed of access of information.
218 COMPUTING SYSTEMS
10-5-10. Life-insurance Problems. This field of application29
for large-scale calculating machines has been chosen here as an
example of the usefulness of such calculations applied to business
problems. In the life-insurance business, large-scale machines
would be useful on policy transactions where a large number
of arithmetic and printing operations may be required dealing
with interest, loans, dividends, cash surrender values, and
extended insurance. In problems of this kind, the machine
must be capable of retaining and consulting tabular data
relating to insurance rates for various categories of insurance
policies and for various age brackets. In cases where machine
calculation is exceedingly rapid, the requirement for built-in
tabular data is not so stringent. Uses for such machines include
pension-plan calculations, the determination of premiums on
and values of policies, and the determination of proposed new
dividend scales. It is conceivable that the machine could cal-
culate the required result quickly enough to obviate the necessity
of building in great quantities of tabular data. In this case, the
dividend rate, age of the insured, type of policy, etc., would be
introduced to the machine as raw data, and the necessary cal-
culations on each policy transaction would be performed by the
machine.
REFERENCES
Design Characteristics of Digital Computing Systems
1. Aiken, H. H., and G. M. Hopper, The Automatic Sequence Controlled
Calculator — I, Electrical Engineering, Vol. 65, Nos. 8 and 9, pp. 384-391
(August-September, 1946); The Automatic Sequence Controlled Calculator
— II, ibid., No. 10, pp. 449-454 (October, 1946); The Automatic Sequence
Controlled Calculator—Ill, ibid., No. 11, pp. 522-528 (November, 1946).
2. Alt, F. L., A Bell Telephone Laboratories Computing Machine — I, Mathe-
matical Tables and Other Aids to Computation, Vol. Ill, No. 21, pp. 1-13
(January, 1948); A Bell Telephone Laboratories Computing Machine — 27,
ibid., No. 22, pp. 69-84 (April, 1948).
3. Bloch, R. M., Mark I Calculator in Proceedings of a Symposium on
Large-Scale Digital Calculating Machinery (Jan. 7-10, 1947), Annals of
the Computation Laboratory of Harvard University, Vol. XVI (Harvard
University Press, Cambridge, Mass., 1948), pp. 23-30.
4. Bloch, R. M., R. V. D. Campbell, and M. Ellis, The Logical Design of
the Raytheon Computer, Mathematical Tables and Other Aids to Compu-
tation, Vol. Ill, No. 24, pp. 286-295 (October, 1948). See also General
Design Considerations for the Raytheon Computer, ibid., pp. 317-322.
5. Burks, A. W., H. H. Goldstine, and J. von Neumann, Preliminary
Discussion of the Logical Design of an Electronic Computing Instrument.
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 219
Report prepared under Contract W-33-034-ORD-7481 between the
Research and Development Service, Ordnance Department, U.S. Army,
and the Institute for Advanced Study, Princeton, N.J. (June 28, 1946).
6. Campbell, R. V. D., Mark II Calculator in Proceedings of a Symposium
on Large-Scale Digital Calculating Machinery (Jan. 7-10, 1947), Annals
of the Computation Laboratory of Harvard University, Vol. XVI (Harvard
University Press, Cambridge, Mass., 1948), pp. 69-79.
7. Eckert, W. J., The IBM Pluggable Sequence Relay Calculator, Mathe-
matical Tables and Other Aids to Computation, Vol. Ill, No. 23, pp.
149-161 (July, 1948).
8. The Eckert-Mauchly Computer Corporation, The UN I VAC System
(1947). Pamphlet prepared by The Eckert-Mauchly Computer
Corporation, Philadelphia.
9. Engineering Research Associates, Inc., Selective Alteration of Digital
Data in a Magnetic Drum Computer Memory. Report prepared for ONR,
under Contract N6onr-240 Task I with Engineering Research Associates,
Inc., St. Paul, Minn. (Dec. 1, 1947).
10. Engineering Research Associates, Inc., Summary of Characteristics,
Magnetic Drum Storage Computer. Report prepared for the National
Bureau of Standards, Department of Commerce, under Contract CST-
10133 with Engineering Research Associates, Inc., St. Paul, Minn.,
Part I (Nov. 30, 1948).
11. Engineering Research Associates, Inc., Examples of Coding, Magnetic
Drum Binary Computer. Report prepared for the National Bureau of
Standards, Department of Commerce, under Contract CST-10133 with
Engineering Research Associates, Inc., St. Paul, Minn., Part II (Nov.
30, 1948).
12. Goldstine, H. H., and Adele Goldstine, The Electronic Numerical
Integrator and Computer (ENIAC), Mathematical Tables and Other
Aids to Computation, Vol. II, No. 15, pp. 97-110 (July, 1946).
13. Goldstine, H. H., and J. von Neumann, Planning and Coding of Problems
for an Electronic Computing Instrument. Report, The Mathematical
and Logical Aspects of an Electronic Computing Instrument, Part II,
Vol. I, prepared under Contract No. W-36-034-ORD-7481 between the
Research and Development Service, U.S. Army Ordnance Department,
and the Institute for Advanced Study, Princeton, N.J. (1947).
14. Goldstine, H. H., and J. von Neumann, Planning and Coding of Problems
for an Electronic Computing Instrument. Report, The Mathematical and
Logical Aspects of an Electronic Computing Instrument, Part II, Vol. II,
prepared under Contract No. W-36-034-ORD-7481 between the
Research and Development Service, U.S. Army Ordnance Department,
and the Institute for Advanced Study, Princeton, N.J. (1948).
15. Hartree, D. R., Calculating Machines (Macmillan & Co., Ltd., London,
1947).
16. Hartree, D. R., The ENIAC, an Electronic Computing Machine,
Nature, Vol. 158, No. 4015, pp. 500-506 (Oct. 12, 1946).
17. Harvard University, Staff of the Computation Laboratory, A Manual of
Operation for the Automatic Sequence Controlled Calculator, Annals of the
220 COMPUTING SYSTEMS
Computation Laboratory of Harvard University, Vol. I (Harvard Univer-
sity Press, Cambridge, Mass., 1946). This manual contains an exten-
sive bibliography on numerical analysis, pp. 338-396.
18. International Business Machines Corporation, IBM Automatic Sequence
Controlled Calculator (1945). Pamphlet of the International Business
Machines Corporation, New York.
19. International Business Machines Corporation, IBM Selective Sequence
Electronic Calculator (1948). Brochure of IBM Corporation, New
York. IBM Selective Sequence Electronic Calculator Is Dedicated to
Science, Business Machines, Vol. 30, No. 11, pp. 1-12 (March, 1948).
20. von Neumann, J., The Principles of Large-Scale Computing Machines
(mimeographed by ORI, Navy Department No. 6553) 16 pp. Address
delivered at a meeting of the Mathematical Computing Advisory Panel
of the Office of Research and Inventions, May 15, 1946.
21. Stibitz, G. R., Relay Computers, Report 171.1 R of the Applied Mathe-
matics Panel of the National Defense Research Committee (February,
1945).
22. United States Air Force, Scientific Planning Techniques, Discussion
Paper 1-DU, Project SCOOP (Planning Research Division, Director of
Program Standards and Cost Control, Washington, D.C., Aug. 5, 1948).
23. University of Pennsylvania, Staff of Moore School of Electrical Engi-
neering, Report on the EN I AC, Technical Report I (University of
Pennsylvania, Philadelphia, June 1, 1946).
24. University of Pennsylvania, Staff of Moore School of Electrical Engi-
neering, Functional Description of the EDVAC, Research Division Report
50-9, a report of development work under contract W-36-034-ORD-7593
with the Ordnance Department, Department of the Army (University
of Pennsylvania, Philadelphia, Nov. 1, 1949). 2 vols.
25. Williams, S. B., Bell Telephone Laboratories Relay Computing System
in Proceedings of a Symposium on Large-Scale Digital Calculating
Machinery (Jan. 7-10, 194-7), Annals of the Computation Laboratory of
Harvard University, Vol. XVI (Harvard University Press, Cambridge,
Mass., 1948), pp. 41-68.
Applications of Digital Machines
26. Alt, F. L., The Multiplication of Matrices, Mathematical Tables and
Other Aids to Computation, Vol. II, No. 13, pp. 12-13 (January, 1946).
27. Alt, F. L., A Bell Telephone Laboratories Computing Machine — II,
Mathematical Tables and Other Aids to Computation, Vol. Ill, No. 22,
pp. 81-84 (April, 1948).
28. Andrews, E. G., and H. W. Bode, Use of the Relay Digital Computer,
Electrical Engineering, Vol. 69, No. 2, pp. 158-161 (February, 1950).
29. Berkeley, E. C, Electronic Machinery for Handling Information and
Its Uses in Insurance, Transactions of the Actuarial Society of America,
Vol. 48, Part 1, pp. 36-52 (1947).
30. Bleick, W. E., Calculating Machine Solution of Quadratic and Cubic
Equations by the Odd Number Method, Mathematical Tables and Other
LARGE-SCALE DIGITAL COMPUTING SYSTEMS 221
Aids to Computation, Vol. II, No. 20, pp. 321-324 (October, 1947).
Method for possible application to Mark I Calculator or to the ENIAC.
31. Bush, V., As We May Think, Atlantic Monthly, Vol. 176, No. 7, pp.
101-108 (July, 1945). A high-speed (microfilm) selector of the Memex
type, suggested in this article, has been constructed by Engineering
Research Associates, Inc., for the Department of Agriculture. Pre-
liminary tests indicate satisfactory performance.
32. Clippinger, R. F., Airflow Problem Planned for the ENIAC, Mathe-
matical Tables and Other Aids to Computation, Vol. Ill, No. 23, pp.
206-207 (July, 1948). Summary of paper presented at the meeting
of the Association for Computing Machinery held at Aberdeen Proving
Ground, Aberdeen, Md., Dec. 11-12, 1947.
33. Curry, H. B., and W. A. Wyatt, A Study of Inverse Interpolation on the
ENIAC, Report 615 (Ballistic Research Laboratories, August, 1946).
34. Harvard University, Evaluation of the Function
S(byh) = Psin (x2 + 62)1'2 dx/(x2 + b2)1^
Report 2, Computation Laboratory Reports for the Bureau of Ships,
Navy Department (June, 1944); Evaluation of the Function
C(bih) = fh cos (x* + b2)^ dx/(x2 + b2)1^
Report 10 Computation Laboratory Reports for the Bureau of Ships,
Navy Department (October, 1944).
35. Harvard University, Computation Laboratory, Fifteen-Place Table of
e~x, Publication 20, Computation Laboratory for the Bureau of Ships
(July, 1945). Out of Print.
36. Harvard University, Staff of the Computation Laboratory, Tables for
the Design of Missiles, Annals of the Computation Laboratory of Harvard
University, Vol. XVII (Harvard University Press, Cambridge, Mass.,
1948).
37. Harvard University, Staff of the Computation Laboratory, Tables of the
Modified Hankel Functions of Order One-Third and of Their Derivatives,
Annals of the Computation Laboratory of Harvard University, Vol. II
(Harvard University Press, Cambridge, Mass., 1945); Tables of the Bessel
Functions of the First Kind of Orders Zero and One, ibid., Vol. Ill (1947) ;
Tables of the Bessel Functions of the First Kind of Orders Two and Three,
ibid., Vol. IV (1947); Tables of the Bessel Functions of the First Kind of
Orders Four, Five, and Six, ibid., Vol. V (1947); Tables of the Bessel
Functions of the First Kind of Orders Seven, Eight, and Nine, ibid., Vol.
VI (1947); Tables of the Bessel Functions of the First Kind of Orders Ten,
Eleven, and Twelve, ibid., Vol. VII (1947); Tables of the Bessel Functions
of the First Kind of Orders Thirteen, Fourteen, and Fifteen, ibid., Vol.
VIII (1947); Tables of the Bessel Functions of the First Kind of Orders
Sixteen Through Twenty-Seven, ibid., Vol. IX (1948); Proceedings of a
Symposium on Large-Scale Digital Calculating Machinery, ibid., Vol.
XVI (1948).
222 COMPUTING SYSTEMS
38. Hicks, B. L., and H. G. Landau, Nonlinear Parabolic Equations, Mathe-
matical Tables and Other Aids to Computation, Vol. Ill, No. 23, pp. 207-
208 (July, 1948). Summary of paper presented at the meeting of the
Association for Computing Machinery held at Aberdeen Proving
Ground, Aberdeen, Md., Dec. 11-12, 1947.
39. Holberton, J. V., Laminar Boundary Layer Flow in a Compressible
Fluid, Mathematical Tables and Other Aids to Computation, Vol. Ill,
No. 23, p. 208 (July, 1948). Summary of paper presented at the meet-
ing of the Association for Computing Machinery held at Aberdeen
Proving Ground, Aberdeen, Md., Dec. 11-12, 1947.
40. International Business Machines Corporation, IBM Selective Sequence
Electronic Calculator (1948) p. 3. Pamphlet of the IBM Corporation,
New York.
41. Irwin, J. B., The Expected Performance of the EDVAC on Some
Astronomical Problems, Publications of the Astronomical Society of the
Pacific, Vol. 60, No. 355, pp. 235-244 (August, 1944).
42. McPherson, J. L., Applications of Large-Scale High-Speed Computing
Machines to Statistical Work, Mathematical Tables and Other Aids to
Computation, Vol. Ill, No. 22, pp. 121-126 (April, 1948).
43. Mitchell, H. F., Jr., Inversion of a Matrix of Order 38, Mathematical
Tables and Other Aids to Computation, Vol. Ill, No. 23, pp. 161-166
(July, 1948).
44. Seeger, R. J., On Computational Techniques for Certain Problems in
Fluid Dynamics, in Proceedings of a Symposium on Large-Scale Digital
Calculating Machinery (Jan. 7-10, 1947), Annals of the Computation
Laboratory of Harvard University, Vol. XVI (Harvard University Press,
Cambridge, Mass., 1948), pp. 157-167.
CHAPTER 11
ANALOG COMPUTING SYSTEMS
11-1. Introduction
Calculating machines of the analog type operate on physical
quantities which can be measured, instead of on numbers which
can be counted. When a problem expressed in terms of discrete
digital quantities is to be solved by an analog machine, these
quantities are translated from numerical into physical form,
i.e., into light intensities, lengths, angular positions of shafts,
electrical currents, and the like. Computing operations are
performed on these physical quantities. The computed result
also appears as a physical quantity which may be retranslated
into digital form.
Let us consider the concept of translation of digital data to
physical form in terms of an example. Suppose the input to an
analog computer is by manual settings of a continuously variable
control dial. The operator turns the dial to the scale division
corresponding to the number he wishes to insert. In setting the
dial he rotates its shaft a number of degrees from the zero posi-
tion. The angular position of the shaft is then a physical
analog of the number it represents. It may, also, provide the
means for setting a continuously variable rheostat and thus
establish the value of a current. If so, the number on the dial
is represented by the effective value of the variable resistance
and by the amount of current flowing through it as well as by the
position of the shaft.
From this example it is easy to visualize an analog machine
which receives its input information directly from some other
machine, without an operator's intervention. Such devices
are common. For example, the computer which solves the
problem of a shell's trajectory and directs the aiming of an
antiaircraft gun may take its inputs directly from the target-
sighting apparatus. It should be noted that such a computer
223
224 COMPUTING SYSTEMS
constantly solves the same problem, yielding output values which
correspond with continuously changing input values.
In discussing the question of relative freedom from error,
as applied to computed results, it is well to start with a common
understanding of the terminology. The word accuracy, as
used herein, denotes conformity to fact. Precision denotes
sharpness of definition. Thus, the statements ir = 3.1416 and
7r = 3.141592G54 are equally accurate, but the latter is more
precise. The first statement merely expresses the observation
that the ratio of the circumference of a circle to its diameter is
between 3.14155 and 3.14165 (as noted in Sec. 6-9). This
statement is free from error; it conforms to fact. The latter,
more precise statement (jr = 3.141592654) likewise conforms to
fact.
Suppose we are dealing with a computed result instead of with
a direct measurement. Assuming complete freedom from arith-
metic error, the precision with which we are justified in expressing
the result depends upon the precision with which the input data
were expressed and upon the nature of the functional relationship
between the input and output data.
In discussing the ability of a machine to yield computed results
free from error, both of the terms we have just defined are useful.
A computer is accurate which does not make mistakes. A digital
computer yields highly precise computed results if it performs
its operations accurately, if it carries a large number of digits
in the register from which the answer is read, and, at the same
time, is able to avoid round-off errors (see Sec. 6-12). Depending
upon the nature of the functional relationships involved in a
problem, the same computer may yield results which we are
justified in expressing with greater or less precision.
An analog computer is accurate if the relationships between its
parts are valid analogs of the mathematical relationships in
the problem. It yields precise computed results if its parts
are made with precision and if the answers can be read with
precision. The last part of this statement is particularly obvious,
but nevertheless instructive. An analog computer yields an
output in the form of a measurable physical quantity of some
sort. If a measure of this quantity must be translated to digital
form, the question of the precision with which the measurement
can be read arises. The computer is similar in this respect to
ANALOG COMPUTING SYSTEMS 225
any other measuring apparatus. The result of the computation
can be expressed no more precisely than it can be read. More-
over, the entire operation of the analog computer is based on
measurement. Though only the final quantity, the answer, may
actually be read and translated into digital expression, other
measurements are made by the interaction of cams, gears, cur-
rents, etc., at each step in the solution, and the precision with
which each of these measurements can be made depends upon the
niceties with which the machine is fabricated and with which
its components interact.
In the case of the fire-control computer mentioned above, we
have a machine from which we do not attempt to read results.
We merely feed the results as controlling and directing orders
to other equipment. The same problem is being solved con-
tinuously; yet the input values are changing. Because this is
true, the ability of the machine to follow changes becomes impor-
tant. If there is an appreciable time lag between the incidence
of a change in input. data and its effect on the output, the instan-
taneous value of the computed result will be in error; i.e., the
machine will be temporarily inaccurate. Generally speaking,
such an analog machine's instantaneous accuracy depends upon
its ability to follow these changes, a machine property which is
unimportant when we are dealing with a static analog device like
the slide rule.
11-2. Components for Analog Computation
11-2-1. Arithmetic Elements. Addition. In most mechanical
analog machines, addition is performed by differential gears.11
There are several types of such differential gears, and since these
have been described adequately elsewhere in the literature, it
will suffice here merely to include the names of several of these
types : the bevel-gear differential, the cylindrical-gear differential,
the spur-gear differential, and the screw differential. In a
differential gear adder the quantities to be added are represented
by shaft rotations ; the sum of the augend and the addend is also
a shaft rotation. For example, if it is desired to add X and Y
and find the sum Z, X is the angular rotation of a given shaft
from a predetermined zero position. For Y the rotation of a
similar shaft on the other differential gear is used. The sum Z
is the angular rotation of the shaft on a planetary gear which
226
COMPUTING SYSTEMS
bears on both the gears to which the shafts of the quantities X
and Y are related.
Subtraction. Subtraction is performed generally by differen-
tial gear mechanisms in the same manner as addition, except
that the appropriate sign of rotation of the shafts is altered to
provide the difference X — Y.
Multiplication. There are several methods by which mul-
tiplication may be performed with analog equipments. Mul-
tiplication may be performed with a slide multiplier, with a
ZERO POSITION
OF 2
Fig. 11-1. Slide multiplier. The bases (ki and X) and the altitudes
(Z and Y) of the two right triangles are proportional because the triangles are
similar. The arm forming the hypotenuse of the larger triangle is pivoted
at their common vertex.
nomographic multiplier, with a resolver, or by special adaptation
of a wheel-and-disk integrator. Some analog machines contain
both slide multipliers and integrators.
The slide multiplier11,32 is based on the principle of the propor-
tionality of the sides of two similar triangles (see Fig. 11-1). The
first triangle has a base of length h\ and an altitude Z; the second
triangle has a base of length X and an altitude Y. By the rela-
tionship between similar triangles,
fci Z
X
or
(XZ)
(11-1)
This type of mechanism has been used by the General Electric
Company in the design of their differential analyzer.22
Multiplication can also be performed by an integrating
mechanism; this is an adaptation of the Kelvin wheel-and-disk
ANALOG COMPUTING SYSTEMS
227
integrator9,32 (see Fig. 11-2). A sharp-edged wheel resting on a
disk is driven by frictional contact with the disk; the axes of
rotation of the wheel and of the disk are orthogonal. The radial
position of the integrating wheel resting on the disk may be
varied by a lead screw through the journal on which the wheel
is mounted; this changes the relative speed of rotation of the
shafts connected to the integrating wheel and to the disk. In
this integrator there are two input shafts and one output shaft.
JOURNAL
SCREW FEED
/
wT\nnnT\nnn^n^!\nn^^nnnnnnnnw;it\nnj
INPUT
Y SHAFT
DISC
INPUT
X SHAFT
Fig. 11-2. Wheel-and-disk integrator. Rotation of Z, in angular measure
from an initial reference position, is proportional to fYdX.
The input motion X is made to rotate the disk shaft, the angular
rotation of this shaft representing the value of the quantity X
at all times. Input motion Y rotates the lead screw controlling
the radial position of the wheel on the disk. The output of the
integrator is the shaft rotation Z of the wheel. If k2 is a constant
of the integrator, then, at any instant, the relationship repre-
sented may be expressed as
dZ
dX
= k»Y
(11-2)
or
Z = k2fYdX (11-3)
If two integrators are used, their combination can be made to
provide the product XY. In the first integrator the variable X
is represented by the rotation of the disk shaft, the variable Y by
the rotation of the lead screw of the integrating wheel. In the
second integrator the positions of X and Y are reversed. The
228 COMPUTING SYSTEMS
outputs Zi and Z2 of the two integrators are then added to give
the product XY.
XY = Zi + Z2 = fX dY + fY dX (11-4)
The factor k2 may be eliminated by adjusting the outputs of each
integrator by this constant.
Where the two variables appear within the integral,
jXYd<f>
two integrators will provide the required product. Since
fXY d<j> = JX d((Y dcj>) = jX dS (11-5)
the integrator, with 4> and Y as input variables, supplies the
quantity
S = JYdcf> (11-6)
The variable S is then introduced to the second integrator as a
shaft rotation of the disk, and X is introduced as the lead-screw
rotation to the wheel carnage, so that the result
R = fXYd4> (11-7)
is generated by the output of the second integrator.
For further details on special operations, such as the use of
the wheel and disk as an inverse integrator, refer to Bush and
Caldwell (pp. 316-318). 9
Division. Division is performed either by the slide multiplier32
or by the integrator.9 If the slide multiplier is used, the inputs X
and Y are interchanged to give
- *■ ©
(11-8)
Division may also be performed with two integrators by taking
the reciprocal of one of the variables, Y, for example, and using
this reciprocal as the input to the Y (lead-screw) shaft in the first
integrator and to the X (disk) shaft in the second integrator:
j= f Xd(^j + f^dX (11-9)
11-2-2. Differentiation and Integration. Both differentiation
and integration are performed with the Kelvin wheel-and-disk
ANALOG COMPUTING SYSTEMS 229
integrator. The method of its use is described in Sec. 11-2-1
above under Multiplication.
11-2-3. Input and Output. Numbers and orders to a differen-
tial analyzer may be introduced by means of coded punched tape.8
The orders for machine setup include those relating to the shaft
connections and to the gear ratios required for the solution of a
given problem; numbers representing the initial conditions may
also be introduced on punched tape, or in the case of earlier units,
these may be set into the machine manually.
Where input of a function in graphical form is required, an
input table9>22's2 is used. This is usually a flat platform on which
the required function is plotted in cartesian coordinates. The
input table is equipped with a pointer for following the plotted
function; if f(x) is plotted along the ordinate and x along the
abscissa, the ordinate position is often controlled manually by a
feed-screw mechanism, while the traverse along the abscissa is
driven by a motor. The x drive on the input table is taken from
the basic x drive of the machine and must always be in syn-
chronism with it so that the correct value of fix) is introduced
to the other elements (adders, multipliers, integrators, etc.) in
the proper phase. Automatic curve-following devices have been
reported by MIT18 and the University of California at Los
Angeles.32
The output of a differential analyzer may be punched on paper
tape or printed in tabular form by an electrical typewriter.
Frequently, it is convenient to plot the output graphically. An
output table,9'22'*2 similar in design to the input table described
above, is used for this type of output and consists of a flat table
equipped with a frame for support and manipulation of a stylus.
The function fix), or y, is plotted automatically on the ordinate
and the independent variable, x, on the abscissa.
11-2-4. Generation of Functions. Functions in graphical form
may be introduced to the machine through the input table.
However, when certain simple analytic functions are required as
elements in the solution of a differential equation, they are fre-
quently generated within the analyzer itself.
The square of a function may be generated by one integrator.
Since y — x2, y may also be expressed as
y = f2xdx (11-10)
230 COMPUTING SYSTEMS
2x is introduced to the lead screw on the wheel carriage and x to
the disk shaft.
The function y = ex may be generated with one integrator by
feeding the output (rotation of the integrating wheel) back into
the shaft on the carriage, since
y = ex; j- = ex; y = J ex dx and y = fy dx
(11-11)
By feeding y = 1/x into an integrator z = In x can be gen-
erated. If n times the output, nz, is fed into another integrator,
the function y = xn is generated, since
i 7 dx
ay = nxn~l dx = nxn —
dy = yd(n In x) (11-12)
y = fy d(n In x)
In this operation, the output y of the integrating wheel is fed back
as the input to the lead screw on the wheel carriage.
For a more detailed discussion of these connections, see articles
by Amble,1 Bush,8 Bush and Caldwell,9 Hartree,15 and Shannon.30
11-3. The MIT Differential Analyzers
The first large-scale differential analyzer8 was constructed at
the Massachusetts Institute of Technology and put into operation
there in 1930. The basic design of this machine followed explora-
tory work at MIT on numerical methods5,6 during the period
1925 to 1930. The original differential analyzer operated on
mechanical principles. This machine has been duplicated at a
number of laboratories in this country and abroad.
In 1945 a new type of differential analyzer, completed and
put into operation during the war at MIT, was announced by
Bush and Caldwell.9 The new machine made automatic many
of the manual operations of the earlier mechanical model and
increased the capacity and precision. It is appropriate here to
discuss the principal features of this machine in terms of the
types and number of components it contains for computation.
11-3-1. Input and Output. Numbers and orders are intro-
duced to the machine9 by coding on three punched-paper-tape
units. These tapes are designated A, B, and C. The A tape
ANALOG COMPUTING SYSTEMS 231
supplies directions for interconnecting the computing units of
the machine. The B tape is punched with gear-ratio data;
the C tape contains the initial numerical data with which each
of the computing units must be supplied to start the solution
of a given equation. Each tape is punched with data identifying
the problem under investigation.
The A tape, with the interconnection data, uses a four-digit
decimal code to describe the shaft acting as a source (transmitter)
and the shaft which is driven (receiver). The first two digits of
the code designate the type of shaft to be used; the second two
digits specify which one of the computing elements possessing
such a shaft is to be chosen. For example, in a hypothetical
case, the digit group 2802-3410 might specify that the output
shaft (code 28) of the second integrator (code 02) is to drive an
input shaft (code 34) on the tenth gearbox (code 10). Each
transmitter-receiver connection appears on a frame of the coded
tape.
The B tape, with its punched code representing the gear-ratio
orders, contains numerical gear-ratio data and the numbers
identifying the particular unit to which each order and number
applies.
The C tape carries coded numbers representing the initial
conditions of the problem and the coded identification of the units
which will make use of these numerical conditions.
For input of graphical data, a modified form of function unit
has been developed. The plotted function is mounted on a drum ;
the drum is rotated by the input, or in accordance with the
independent variable, while the pointer, or index, is kept on the
trace of the function by manual rotation of the lead screw which
moves the pointer along the direction of the axis of rotation of
the drum. Since the output of the function unit must be a
source of torque for relaying its information to other elements of
the machine, the operator supplies this torque while acting to
keep the index on the function.
The output of the differential analyzer is a measurement of
the rotation of shafts representing the desired variables. For
example, if the dependent variable, y, is the result of integrating
a differential equation with x as the independent variable, the
output of the y shaft can be made to control the rotation of the
screw feed geared to the stylus on the output table while the main
232 COMPUTING SYSTEMS
drive which rotates the drum is supplied with torque by the x,
or independent-variable, shaft.
For numerical registration of the shaft rotation, a counter
unit is servoconnected to each shaft whose output is desired.
Shaft rotations may be measured simultaneously on a number of
units at any time and without stopping the machine. These
data are stored in groups of relay counters. The system can
handle up to ±10,000 revolutions and can record to 0.1 revolu-
tion. The measurement of shaft rotation is first corrected for
its initial value by a relay matrix capable of performing addition
and subtraction ; the corrected data are then transferred from the
matrix to storage relays prior to introduction to the automatic
typewriters. The printing unit is automatic motor-driven IBM
equipment. A set of 10 seven-digit numbers (with spaces and
algebraic sign) can be printed every 12 seconds.
11-3-2. Integrators. The new differential analyzer9 has 18
integrators at present; this number of integrators may be
increased to 30. In view of the possible expansion to 30 integra-
tors, the machine has already been arranged to operate as three
sections, each having its own recording channel, typewriter
units, computing matrices, decoding relays, and typewriter
storage relays.
The disk of the integrator is constructed of plate glass ground
flat; the integrating wheel has a steel hub with a magnesium
flange and a hardened-steel tire finished to a sharp edge (with
straight sides, 60° included angle). The edge of the wheel bear-
ing on the glass disk is ground to a width of 0.002 inch.
Each integrator has an automatic setting mechanism which
consists of a group of rotary selector switches for adjusting the
integrator to the required initial position in conformance with
coded orders on the C tape. The position of the integrating
wheel may be set on the radius of the disk to a precision of 1 part
in 150,000. The setting mechanism through its 44 associated
relays may also be controlled centrally to read the position of
the lead screw on the wheel carriage and transmit the data to a
printing station. If the integrating-wheel displacement is to
be multiplied or divided by a constant, e.g., 2, 5, or 10, the setting
mechanism reads the wheel position and transmits the reading
to a relay multiplier-divider unit, which performs the required
arithmetic operation. The product or quotient is then trans-
ANALOG COMPUTING SYSTEMS 233
ferred back to the setting mechanism, which automatically
adjusts the integrator to the correct position.
11-3-3. Gear Assemblies. A problem on the differential
analyzer is set up and ready to operate when each of the required
shafts is connected to a source of torque. On the mechanical
differential analyzer, the interconnection of these shafts was made
manually. In the new machine, clusters of gears are assembled
into gearboxes provided with electromagnetic shifting devices for
change of gear ratio. The gearboxes are of two types: a one-
digit decimal box provides any gear ratio between 0.1 and 1.0 in
steps of 0.1; a decade decimal box provides any gear ratio
between 0.0000 and 1.1110 in steps of 0.0001. The gearboxes
are each driven by a standard servomotor; the output of the
gearbox is registered by an angle indicator.
11-3-4. Machine Control. The machine9 is controlled through
an automatic electrical switchboard which regulates the in-
terconnection of data-transmission elements. Servomecha-
nisms3'4,7'10'12,17,20 provide the power for driving all mechanical
loads. Instead of measuring shaft rotations by selsyns,24
through magnetic-field variation, an angle-indicator unit operat-
ing on the variation of an electric field was found to be feasible ;
this unit operates at low torque and is capable of being used in
conjunction with the standard telephone switching equipment
for the transmission of data at low energy levels.
The angle indicator9 contains two capacitance bridges, each
excited with voltage at about 3,000 cycles per second. Each
bridge has a pair of fixed and a pair of variable condensers. The
angular position is parallel. Rotating between the two plates
of the variable condenser are a pair of specially cut cam-shaped
disks of dielectric material; these are fastened to the shaft whose
rotation is to be measured. As the shaft is rotated, each bridge
undergoes a change in capacity such that the output voltages of
bridge 1 and bridge 2 are
ei = A;#isin <f> (11-13)
e2 = kE2 cos cf>
where e\ = output of first bridge
e2 = output of second bridge
Ei and E2 = exciting voltages
<f> = angle of shaft rotation
k = a constant of the system
234 COMPUTING SYSTEMS
The outputs d and e2 may be used to transmit the position
of one shaft A to another shaft B. In this case, the two bridges
of A are excited with the same alternating voltage E; the output
voltages ei and e2 are transmitted through a switchboard and are
introduced as input voltages to the angle indicator on shaft B.
Since the output voltages from A are
ei — kE sin 4>A
and (11-14)
e2 — kE cos 4>a
the output of the capacitance bridges associated with shaft B
will be
ez = kei cos 4>B ,-- 1_
e4 = ke2 sin cf>B
Combining Eqs. (11-14) and (11-15),
e3 = k2E sin (f>A cos <^5 ,
e4 = k2E cos <^>a sin <f>B
The output voltages e3 and e4 from angle indicator B are then
subtracted in a transformer network. The transformer output
is then
e = e3 - e4 = /c2# sin (^ - 0B) (H-17)
The voltage e, for small differences in shaft positions, is propor-
tional to the difference between the angular positions of the
shafts A and B; this voltage is made the input to a servomotor
which supplies the torque to control the shaft B.
The servomotors used are of the repulsion type with two sets
of brushes, one to provide positive, the other to provide negative
rotation. The torque delivered by the servomotors is controlled
by varying the plate current through each of a pair of thyratrons
which are connected to the brush pairs through step-down
transformers.
The three different sections of the machine are each equipped
with an independent variable drive; any one of these drives,
however, may be used with all or any part of the computing
elements of the entire machine. The power element for the
independent variable drive is a variable-speed motor with an
associated angle indicator. This angle indicator is associated
with a primary element for machine control; it can drive any num-
ANALOG COMPUTING SYSTEMS
235
ber of receiving angle indicators (11 have been so driven). The
speed and acceleration of this shaft are controlled automatically.
11-3-5. Relay Equipment. Several thousand relays are in
use at present in the new differential analyzer. These relays
are of the telephone type. They are used for decoding and
executing input-tape orders, controlling the electrical typewriter
output, performing addition and subtraction in the registration
of shaft rotations, multiplication and division for integrator
Table 11-1. Table of Equipment
The new differential analyzer contains the following equipment:
Independent variable units 3
Integrators and setting mechanisms 18
High-speed numerical counters 10
Numerical recording channels (including special typewriters) 3
Manual function units (these units can also be used for graphical record-
ing) 3
Graphical recording unit 1
Automatic function units (not yet in operation) 4
Gear combinations — all gearboxes can be used separately or with asso-
ciated adder gears. The details of gearing available are given in the
following table.
Table 11-2. Gear Table
Type of unit and
gearboxes contained
No. of
units
Total no. of
decade boxes*
Total no. of
one-digit
boxes t
Total no.
of adders
3-input adder unit, with
2 decade boxes and 1
direct drive
2
6
3
3
3
4
6
3
0
3
0
6
0
3
3
4
2-input adder unit, with
1 decade box and 1
one-digit box
6
2-input adder unit, with
1 decade box and 1
direct drive
3
2-input adder unit, with
1 one-digit box and 1
direct drive
3
Nonadding unit, with 1
decade box and 1 one-
digit box
0
Grand totals
17
16
12
16
* Decade boxes provide all ratios from 0 to 1.1110, in steps of 0.0001.
f One-digit boxes provide all ratios from 0.1 to 1.0, in steps of 0.1.
236 COMPUTING SYSTEMS
positioning, counting of shaft rotations, and for temporary
storage.
Tables 11-1 and 11-2 summarize the equipment in the new
differential analyzer at MIT. These data were presented by
Bush and Caldwell (p. 326). 9
11-4. The General Electric Differential Analyzer
An improved type of differential analyzer has also been
designed and built by the General Electric Company.22 One
model of this analyzer is in current use at the University of
California at Los Angeles.32
The general mechanical features of the components of this
analyzer differ in several respects from those in the new differen-
tial analyzer at MIT. For example, multiplication and division
are performed generally with a mechanical multiplier by using
similar-triangle relations (see Multiplication in Sec. 11-2-1),
although the two-integrator method for obtaining products may
still be involved.
The integrator output shaft is not in physical contact with the
integrating wheel but is controlled by a photoelectric follow-up
system. Since it is not connected to the output shaft, the wheel
experiences no reaction from the torque drive of that shaft; the
only torque on the wheel itself is that imposed upon its own
bearings. The integrator wheel is a Polaroid disk with a steel
rim and hub; the wheel itself forms part of the optical system.
A split beam of light passes normally through the wheel face,
one beam traversing one of two additional disks and the other
beam traversing the second disk. The two disks are set with
their planes of polarization at 90° to one another; they are
mounted on a common shaft geared to a follow-up motor. The
shaft of this motor simulates the rotation of the integrator
wheel.
After passing through the integrator wheel and one of the
polarized disks, each beam falls upon a photocell. As the
integrator wheel rotates, the illumination on the two photocells
is varied. The photocells form two arms of a d-c bridge; the
output, or current difference between the photocells, causes one
thyratron to conduct more and another thyratron to conduct less
than its previous current output. The thyratrons both supply
current to a pair of field coils on a split-series servomotor. The
ANALOG COMPUTING SYSTEMS 237
sign of the difference in the current outputs controls the direction
of rotation of the motor. Therefore, an unbalance in the light
striking each photocell is transmitted by thyratron control so as
to correct this unbalance by changing the angular position of the
polarized disks. This method of balancing is used to keep the
shaft of the servomotor at the same angular position as the shaft
on the integrator wheel.
Table 11-3 gives a list of components in the differential analyzer
at the University of California at Los Angeles; this material is
presented in Reference 32 (p. 2). For the design characteristics
Table 11-3. Components of the Differential Analyzer9 at the
University of California at Los Angeles
Adders (also subtract) 20
Multipliers (also divide) 3
Integrators 14
Input tables 4
Independent variable motors 2
Output tables 2
of other differential analyzers, see articles by Beard,2 Hartree,13'16
Hartree and Porter,14 Lennard- Jones, Wilkes, and Bratt,23
Massey, Wylie, and Buckingham,25 and Murray.26
11-5. Electronic Differential Analyzer
Recently attention has been given to performing differentia-
tion, integration, and arithmetic operations with electronic
circuits.19,21 Analogous mechanical methods have been outlined
previously, and these preceded the development of electronic
units for differential analysis. The basis for all the electrical
analog computers is the mathematical relation between currents
and voltages in electric circuits. For example, the voltage drop
across a resistor is proportional to the algebraic sum of the
currents which are introduced from various sources. Thus,
KirchhofFs law is the basis for an electrical adder.
In general, the order of magnitude of error in an analog com-
puting device is closely associated with the ratio of output
energy produced to input energy required. For this reason, the
electron tube is a valuable aid to electrical computing because it
requires very little input energy. The use of voltage or current
amplifiers29 in an electrical computer is somewhat analogous to
the use of torque amplifiers in mechanical computers.
238 COMPUTING SYSTEMS
In the electronic differential analyzer the arithmetic operations
are performed in the following way: Addition and subtraction
can be accomplished through the use of two identical triodes in
parallel in a resistance-coupled amplifier: The plate or output
potential can be made equal to the sum or difference of the input
(or grid) potentials multiplied by the factor
— iiRl
Rl ~1~ Rp
where n = amplification factor of tube
Rp = plate resistance of tube
Rl = load resistance
Multiplication by a constant factor is performed by a single
stage of a resistance-coupled amplifier.28 With proper adjust-
ment of the operating point, the plate potential is a linear func-
tion of the input or grid potential multiplied by the factor
— IjlRl/(Rl + Rp.) It should be noted that this factor can be
greater or less than 1. Thus, the circuit can be used to perform
division as well as multiplication by a constant factor.
Multiplication by a variable factor may be performed by
introducing a voltage which is proportional to the multiplier
across the outside terminals of a potentiometer. The poten-
tiometer shaft is adjusted to an angle proportional to the multi-
plicand, and the output voltage is proportional to the product
of the two input quantities. Since both input voltage and shaft
angle may be variable quantities, the product of two variable
quantities may be formed.
Varying electrical quantities can be generated with an input
table similar to the ones used in mechanical differential analyzers.
In the case of an electrical machine, the shafts which drive the
curve-following stylus are connected to potentiometers and cause
an output voltage to vary in accordance with a plotted function.
If a function is to be used frequently, a potentiometer can be
wound on a card which varies in width in such a manner that the
output voltage is the desired function of the shaft rotation.
This device is the electrical equivalent of a mechanical cam.
In order to perform differentiations and integrations, the
properties of RC circuits may be employed. An RC circuit in
conjunction with an electronic amplifier can be made to have a
time constant of about 2 minutes. Thus, an integration could be
ANALOG COMPUTING SYSTEMS 239
performed for only approximately 3 seconds before a 5 per cent
error caused by the leakage of charge from the capacitor is
accumulated. By adding a feedback27 circuit in the amplifier,
the time constant of the RC circuit can be increased to about
100 minutes, and integration may be performed for 5 minutes
before a 5 per cent error is accumulated.
A one-stage conventional resistance-capacity amplifier repre-
sents a first-order differential equation with constant coefficients.
The plate potential can be shown to be related to the grid poten-
tial by a first-order differential equation with a time constant
[RG + RlRp/(Rl + Rp)]C, where C is the value of the coupling
condenser and RG is the grid resistor in the next stage.
Using n stages of resistance-capacity amplification, equations
of the nth order can be simulated, and with the proper choice of
circuit constants and tubes, differential equations with real
negative coefficients can be set up. By using the principle of
feedback the range of coefficients can be extended greatly. Also
by using the feedback principle, a differential equation can be
set up which has an auxiliary equation with complex roots
whose real parts are either positive or negative.
The output potentials of the machine are measured by means
of a recording vacuum-tube voltmeter, and it has been suggested
that a self-balancing potentiometer of the Brown and Leeds-
Northrup type can be used to drive a plotting table.
A commercial electronic differential analyzer is being produced
by the Reeves Instrument Corporation, and is called the REAC.33
The basic machine contains 20 d-c amplifiers, of which seven are
integrating amplifiers, seven are inverting amplifiers, and six are
summing amplifiers. Servomechanisms are used to carry out
multiplication of variable quantities, to resolve vectors, and to
introduce arbitrary functions. Provision is made to couple
several REAC's together in order to increase the capacity. A
single machine will handle differential equations up to the
seventh order.
A circuit which can be used as a square or square-root com-
puter element (as well as in various other applications) has been
reported by R. D. Campbell.68 It comprises a d-c amplifier, a
feedback loop, and a diode, operated in the region where the slope
of the plate-current-filament-current characteristic is relatively
steep. The feedback is designed to maintain constant power in
240 COMPUTING SYSTEMS
the diode filament. When the circuit is to be used as a computer
element, the input may be an a-c current fed through the filament.
The output is the output of the feedback amplifier. The power
generated in the filament is the sum of the mean squares of the
input and output currents times the resistance of the filament.
This is kept constant. Assuming the filament resistance is con-
stant, which is a valid assumption so long as the frequency of the
input current is not higher than about 10 megacycles,
n + n = k
where Ii and I0 are the input and output currents. There-
fore K — I20 varies as the mean square of the input current.
This relation can be utilized in various computing applications
with an accuracy of about 99 per cent.
11-6. Electrical Network Analyzers
Electrical network analyzers for solving algebraic equations
and linear and nonlinear differential equations have been devel-
oped by manufacturers of electrical equipment, principally the
General Electric Company and the Westinghouse Electric
Corporation. They were originally built for studying network
problems in connection with the transmission of electrical power
and voltage-current characteristics in systems where power loads
and power sources may vary rapidly with time. In recent years,
more general use has been found for these machines. The types
of network analyzers include the d-c network analyzer, the
a-c network analyzer, and the transient analyzer. These are
described briefly below.
11-6-1. D-C Network Analyzer. The D-C Network Analyzer
has been in service for the solution of industrial problems for the
past 25 years. This analyzer is a system of coupled resistance
circuits which can be flexibly arranged to simulate the steady-
state conditions existing in an electrical or mechanical problem.
The voltage between various points of the resistance lattice
and the current through any given group of resistance elements
can be determined by direct measurement. Steady-state solu-
tions for compressible fluid flow and heat flow in addition to
solutions of Laplace's equations in two dimensions have been
obtained by the D-C Network Analyzer.36 In most problems of
this type, the voltage across a resistance element simulates the
ANALOG COMPUTING SYSTEMS 241
electrical potential or temperature and the current flowing in the
resistance element simulates the fluid flow or heat flow in the
medium which is represented by this network. It is obvious
that the precision of the results depends upon the precision with
which electrical measurements can be made. Thus, a precision
of 1 or 2 per cent is considered acceptable.
11-6-2. A-C Network Analyzer. The design and development
of the A-C Network Analyzer followed chronologically that of the
D-C Network Analyzer. The first large-scale A-C Network
Analyzer was constructed in 1929. This analyzer is similar to
the d-c type with each resistance element being replaced by a
combination of resistance-capacity and -inductance elements.
It is more flexible than the D-C Network Analyzer since it can
represent phase relationships between currents and voltages in
various parts of the network and is therefore capable of handling
complex quantities directly. The propagation of electro-
magnetic waves has been studied with this analyzer, and during
the Second World War it was used to investigate the char-
acteristics of cavity resonators. In the field of mathematical
physics the A-C Network Analyzer has been used to obtain
solutions of the Schrodinger equation for a simple harmonic
oscillator and for the rigid rotator in one dimension. Investiga-
tions have been made on the effect of the shape of various
potential wells on the eigenvalues and eigenfunctions for both
the linear harmonic oscillator and the rigid rotator.
11-6-3. Transient Analyzer. This analyzer differs from the
d-c and a-c analyzers described above in that it can be used to
study nonrepetitive phenomena. It was designed primarily
to study electrical transient phenomena resulting from switching
and voltage or current discontinuities. The effect of nonlinear
elements in physical systems can also be investigated with this
analyzer.
The Transient Analyzer36 is capable of having its circuit
parameters varied easily. Therefore it is a powerful tool for use
in the synthesis of an optimum physical system from a given set of
components of undetermined value. For example, the char-
acteristics of a servomotor and its load might be simulated, and
the transient response of the over-all system observed as various
servoamplifier circuit parameters are adjusted. The transient
response at various points in the system may be observed on a
242
COMPUTING SYSTEMS
cathode-ray oscilloscope, and a great deal of the design work can
be done by bringing the response curves into the desired form.
Thus, a minimum of output data needs to be permanently
recorded for further analysis. The application of this analyzer
to other nonlinear problems in electricity, mechanics, heat, and
sound is expected to produce useful and informative results.
11-7. Special Analog Systems
11-7-1. Solutions of Simultaneous Linear Algebraic Equations.
Analog devices on which linear simultaneous algebraic equations
r
Ovx'
TAEE I
a
O Q
TAPE 2
Fig. 11-3. Wilbur's mechanism. The distance between the two ends of
each tape is reduced by an amount proportional to anxi + a\2x2 or a2\X\ +
a22x2. »
may be solved have been in existence for at least 50 years, and
many types are described in the literature. The more desirable
machines have the fewest parts per equation to be solved and
therefore have fewest sources of error and are least expensive.
A device has been described by Wilbur51 in which each equation
is represented by a tape. To study the device, consider the two
equations :
anxi + a12x2 = h
CL2lXl + «22#2 = i>2
A lever, having a movable roller attached to the lever arm, is
provided for each term in the left-hand side of the equation. The
levers are arranged in a plane in the same relative position as the
terms in the equation. The tapes are constrained by fixed rollers
ANALOG COMPUTING SYSTEMS
243
and are also passed over each movable roller which corresponds
to a term in the equation which the tape represents (Fig. 11-3).
The arrangement is such that as each lever arm is moved up, the
tape is taken up by an amount proportional to the product
of the displacement of the roller from the pivot point on the
lever arm and the vertical displacement of the lever arm from
its normal position. In order to solve the equation given
as an example, the displacement of each roller from the pivot
point of the lever arm is made proportional to the coefficients
On, au, a,2i, and a22. If the x\ lever arms are displaced from
their normal positions through an angle whose sine is propor-
tional to Xi, and the x2 lever arms are displaced through an angle
21
22
Fig. 11-4. Mallock's circuit.
whose sine is proportional to x2, the tape corresponding to the
first equation is shortened by an amount proportional to auXi
+ 0,12X2. Likewise, the other tape is shortened by an amount
proportional to a2i£i + 0,22X2. If the Xi and x2 lever arms are
displaced so that the first tape is shortened by an amount 61
and the second tape is shortened by an amount 62, the x displace-
ments are proportional to X\ and x2, the solution of the equations.
A machine was designed in England in the early 1930's by
R. R. M. Mallock48 which uses alternating voltages and currents
and consists of a set of adjustable transformers. This machine
is quite elaborate and expensive, partly because of errors in the
transformers which must be compensated.
If a scale model of the Mallock machine were applied to the
equation of the previous example, three transformers, each having
a pair of adjustable coils, would be required (Fig. 11-4).
Let 0i, the total flux in the first transformer, be allowed to
represent xi, and </>2, the total flux in the second transformer,
244 COMPUTING SYSTEMS
be allowed to represent x2. Then if the number of turns in the
coil 11 is proportional to the coefficient an, the potential induced
in coil 11 is approximately anxi. Similarly, the potentials
induced in the other coils are approximately CL12X2, 0,21X1, and
022X2, respectively.
The flux 4>q and the turns on the third transformer are adjusted
so that the terminal voltages of the two coils are 61 and b2,
respectively. If <£0 is supplied from an external source and if
the three coils in each row are connected in a series loop, the
fluxes <f>i and <£2 will adjust themselves so they are in fact pro-
portional to Xi and x2.
Precautions must be taken to see that these fluxes do not
become excessive in the case of equations with solutions which are
large numbers.
Although the Wilbur and Mallock devices are rather com-
plicated, they do converge on the solutions of suitable equations
automatically. A more recent machine of this type has been
developed at RCA and is described by Goldberg and Brown.46
The RCA device employs alternating currents, potentiometer-
type multipliers, and Kirchhoff adders. Stabilized amplifiers
make up for the circuit losses and allow favorable impedance
matching. The unknowns are represented by a-c voltages, and
these are evaluated by comparing them with the signal supply
voltage in a bridge circuit. This technique requires a minimum
of precision equipment.
Other equation solvers have also been devised using servo-
mechanisms to drive the multiplying potentiometers, but this
seems to be an unnecessary degree of complexity.39
A less expensive device of the adjuster type has been described
by Berry et al.40 and is now commercially available from the
Consolidated Engineering Company. Alternating currents are
used for convenience, and potentiometer multipliers are employed.
As the name implies, solutions are reached by repeated adjust-
ments of potentiometer shafts in order to carry out the iterative
procedure of Gauss and Seidel. Fairly rapid convergence can be
realized if the equations can be arranged so that the largest
coefficients lie on a diagonal through the center of the deter-
minant of the system of equations. This is a characteristic of
the type of equation for which the machine was designed. The
commercial model will handle 12 equations and is reputed to
ANALOG COMPUTING SYSTEMS 245
allow solution of simultaneous equations in from a third to a
quarter the time required on a desk calculator.
11-7-2. Mechanical Synthesizers and Harmonic Analyzers.
It can be shown that the synthesis of a function from its har-
monic components and the analysis of an arbitrary function into
its harmonic components may both proceed on the basis of
equations of the type:49
Sp = \dqcos (pQ^)
Several machines which can perform this function have been
designed and built in this country and are described in the
literature.42-47
A machine which is a modification of the mechanical synthe-
sizer is called the Multiharmoni graph, and its use has been
described by Brown and Wheeler.52 This device will plot a sum
of harmonic terms against another sum of harmonic terms. A
pair of nonlinear simultaneous equations which have been con-
verted to polar form can also be solved on this machine.
11-8. Applications of Analog Computers
An exhaustive discussion of the applications of analog com-
puters is beyond the scope of this survey, but a glance at the
reference list appended52-71 will give an idea of the large variety
of applications which have already been examined. It has
been found that new and unpredicted uses are found for existing
machines as more workers learn of their characteristics.
References 65 and 67 contain extensive bibliographies on
applications of differential analyzers and network analyzers.
REFERENCES
Components and Characteristics of Differential Analyzers
1. Amble, O., On a Principle of Connexion of Bush Integrators, Journal of
Scientific Instruments, Vol. 23, pp. 284-287 (1946).
2. Beard, R. E., The Construction of a Small-Scale Differential Analyzer
and Its Application to the Calculation of Actuarial Functions, Journal
of the Institute of Actuaries, Vol. 71, pp. 193-227 (1942).
3. Brown, G. S., and A. C. Hall, Dynamic Behavior and Design of Servo-
mechanisms, Transactions of the American Society of Mechanical Engi-
neers, Vol. 68, pp. 503-524 (1946).
246 COMPUTING SYSTEMS
4. Brown, G. S., and D. P. Campbell, Principles of Servomechanisms (John
Wiley & Sons, Inc., New York, 1948).
5. Bush, V., F. D. Gage, and H. R. Stewart, A Continuous Integraph,
Journal of the Franklin Institute, Vol. 203, pp. 63-84 (1927).
6. Bush, V., and H. L. Hazen, Integraph Solution of Differential Equa-
tions, Journal of the Franklin Institute, Vol. 204, pp. 575-615 (1927).
7. Bush, V., Operational Circuit Analysis (John Wiley & Sons, Inc., New
York, 1929).
8. Bush, V., The Differential Analyzer. A New Machine for Solving
Differential Equations, Journal of the Franklin Institute, Vol. 212, pp.
447-488 (1931).
9. Bush, V., and S. H. Caldwell, A New Type of Differential Analyzer, Jour-
nal of the Franklin Institute, Vol. 240, No. 4, pp. 255-326 (October, 1945).
10. Gardner, M. F., and J. L. Barnes, Transients in Linear Systems (John
Wiley & Sons, Inc., New York, 1942).
11. Greenwood, I. A., Jr., J. V. Holdam, Jr., and D. MacRae, Jr., Electronic
Instruments, Radiation Laboratory Series, Vol. 21 (McGraw-Hill Book
Company, Inc., New York, 1948).
12. Harris, H., The Analysis and Design of Servomechanisms, Report 454,
Office of Scientific Research and Development, Washington, D.C.
(January, 1942).
13. Hartree, D. R., The Differential Analyzer, Nature, Vol. 135, pp. 940-
943 (June 8, 1935).
14. Hartree, D. R., and A. Porter, The Construction of a Model Differential
Analyzer, Memoirs and Proceedings of the Manchester Literary and
Philosophical Society, Vol. 79, pp. 51-72 (July, 1935).
15. Hartree, D. R., The Mechanical Integration of Differential Equations,
Mathematical Gazette, Vol. 22, pp. 342-363 (1938).
16. Hartree, D. R., Recent Developments in Calculating Machines, Journal
of Scientific Instruments, Vol. 24, pp. 172-176 (July, 1947).
17. Hazen, H. L., Theory of Servomechanisms, Journal of the Franklin
Institute, Vol. 218, No. 3, pp. 279-330 (September, 1934).
18. Hazen, H. L., J. J. Jaeger, and G. S. Brown, An Automatic Curve Fol-
lower, Review of Scientific Instruments, Vol. 7, pp. 353-357 (September,
1936).
19. Jackson, J. M., Solution of Differential Equations by an Electronic Differ-
ential Analyzer, Admiralty Computing Service Report (Department of
Scientific Research and Development, London; reprinted by the Office
of Research and Inventions, Navy Department, Washington, D.C,
July, 1946).
20. James, H. M., N. B. Nichols, and R. S. Phillips, Theory of Servomechan-
isms, Radiation Laboratory Series, Vol. 25 (McGraw-Hill Book Company,
Inc., New York, 1947).
21. Koehler, J. S., An Electronic Differential Analyzer, Journal of Applied
Physics, Vol. 19, pp. 148-155 (1948).
22. Kuehne, H. P., and H. A. Peterson, A New Differential Analyzer,
Transactions of the American Institute of Electrical Engineers, Vol. 63,
pp. 221-228 (May, 1944).
ANALOG COMPUTING SYSTEMS 247
23. Lennard-Jones, J. E., M. V. Wilkes, and J. B. Bratt, The Design of a
Small Differential Analyzer, Proceedings of the Cambridge Philosophical
Society, Vol. 35 (III), pp. 485-493 (July, 1939).
24. Linville, T. M., and J. S. Woodward, Selsyn Instruments for Position
Systems, Electrical Engineering, Vol. 53, p. 953 (1934).
25. Massey, H. S. W., J. Wylie, and R. A. Buckingham, A Small Scale
Differential Analyzer: Its Construction and Operation, Proceedings of
the Royal Irish Academy, Vol. 45, pp. 1-21 (1938).
26. Murray, Francis J., The Theory of Mathematical Machines, 2d rev. ed.
(King's Crown Press, New York, 1948).
27. Princeton University, Bibliography on Feedback Amplifiers, Technical
Report 5 under Contract N6onr-105 Task Order VI between the Office
of Naval Research, Navy Department, and Department of Electrical
Engineering, Princeton University, Princeton, N.J. (March, 1948).
28. Princeton University, Circuits for a Linear Negative Resistance and for a
Constant Voltage-Ratio Power Amplifier, Technical Report 2 under
Contract N6onr-105 Task Order VI between the Office of Naval
Research, Navy Department, and Department of Electrical Engineer-
ing, Princeton University, Princeton, N.J. (December, 1947).
29. Sack, H. S., R. T. Beyer, G. H. Miller, and J. W. Trischka, Special
Magnetic Amplifiers and Their Use in Computing Circuits, Proceedings
of the Institute of Radio Engineers, Vol. 35, pp. 1375-1382 (November,
1947).
30. Shannon, C. E., Mathematical Theory of the Differential Analyzer,
Journal of Mathematics and Physics (Massachusetts Institute of Technol-
ogy), Vol. 20, pp. 337-354 (1941).
31. Stibitz, G. R., A New Class of Computing Aids, Mathematical Tables
and Other Aids to Computation, Vol. Ill, No. 23, pp. 217-221 (July,
1948); Function Unit Theory of Computing Devices, Report 1309 (May,
1948). Available on request from Taller and Cooper, Inc., Brooklyn,
N.Y.
32. University of California at Los Angeles, Staff of the Department of
Engineering, The Differential Analyzer of the University of California
(1947). Pamphlet published by the University of California, Los
Angeles. 25 pp.
33. Zagor, H., Description of a Reeves Electronic Analog Computer
(REAC), Mathematical Tables and Other Aids to Computation, Vol. Ill,
No. 24, pp. 326-327 (October, 1948). Notes on paper presented by
Mr. Zagor before the American Physical Society, Apr. 30, 1948.
Network Analyzers
34. Hazen, H. L., H. R. Schurig, and M. F. Gardner, The MIT Network
Analyzer, Transactions of the American Institute of Electrical Engineers,
Vol. 49, p. 1102 (July, 1930).
35. Kuehne, H. P., and R. G. Lorraine, A New A-C Network Analyzer,
Transactions of the American Institute of Electrical Engineers, Vol. 57,
pp. 67-73 (February, 1938).
36. Peterson, H. A., and C. Concordia, Analyzers for Use in Engineering
248 COMPUTING SYSTEMS
and Scientific Problems, General Electric Review, Vol. 49, pp. 29-37
(September, 1945).
37. Princeton University, A Network for Solving Certain Ordinary Non-
linear Differential Equations by Analogy, Technical Re-port 1 under Con-
tract N6ori-105 Task Order VI between the Office of Naval Research,
Navy Department, and Department of Electrical Engineering, Prince-
ton University, Princeton, N.J. (October, 1947).
38. Spangenburg, K., and G. Walters, An Electrical Network for the Study of
Electromagnetic Fields, Technical Report 1, ONR Contract N6-ori-106
Task III (May 15, 1947).
Special Analog Systems
39. Adcock, W. A., An Automatic Simultaneous Equation Computer and
Its Use in Solving Secular Equations, Review of Scientific Instruments,
Vol. 19, pp. 181-187 (March, 1948).
40. Berry, C. E., D. E. Wilcox, S. M. Rock, and H. W. Washburn, A Com-
puter for Solving Linear Simultaneous Equations, Journal of Applied
Physics, Vol. 17, No. 4, pp. 262-272 (May, 1946).
41. Booth, A. D., Two Calculating Machines for X-ray Crystal Structure
Analysis, Journal of Applied Physics, Vol. 18, pp. 664-666 (July, 1947).
42. Brown, S. L., A Mechanical Harmonic Synthesizer-Analyzer, Journal
of the Franklin Institute, Vol. 228, pp. 675-694 (1939).
43. Dietzold, R. L., The Isograph, A Mechanical Root Finder, Bell Labora-
tories Record, Vol. 16, pp. 130-134 (1937).
44. Frame, J. S., Machines for Solving Algebraic Equations, Mathematical
Tables and Other Aids to Computation, Vol. 1, No. 9, pp. 337-351 (Jan-
uary, 1945).
45. Frost, A. A., and M. Tamres, A Potentiometric Secular Equation Com-
puter, Journal of Chemical Physics r Vol. 15, pp. 383-390 (June, 1947).
46. Goldberg, E. A., and G. W. Brown, An Electronic Simultaneous Equa-
tion Solver, Journal of Applied Physics, Vol. 19, pp. 338-345 (April,
1948).
47. Hagg, G., and T. Laurent, A Machine for the Summation of Fourier
Series, Journal of Scientific Instruments, Vol. 23, pp. 155-158 (1946).
48. Mallock, R. R. M., An Electrical Calculating Machine, Proceedings of
the Royal Society, Vol. 140, p. 457 (1933).
49. Murray, F. J., The Theory of Mathematical Machines (King's Crown
Press, New York 1948).
50. Ragazzini, J. R., Robert H. Randall, and F. A. Russel, Analysis of
Problems in Dynamics by Electronic Circuits, Proceedings of the Insti-
tute of Radio Engineers, Vol. 35, pp. 444-452 (May, 1947).
51. Wilbur, J. B., The Mechanical Solution of Simultaneous Equations,
Journal of the Franklin Institute, Vol. 222, pp. 715-724 (1936).
Analog Computer Applications
52. Brown, S. L., and L. L. Wheeler, Use of the Mechanical Multiharmoni-
graph for Graphing Types of Functions and for Solution of Pairs of
ANALOG COMPUTING SYSTEMS 249
Nonlinear Simultaneous Equations, Review of Scientific Instruments,
Vol. 13, pp. 493-495 (1942).
53. Brown, S. L., and L. L. Wheeler, The Use of a Mechanical Synthesizer
to Solve Trigonometric and Certain Types of Transcendental Equations,
and for the Double Summations Involved in Patterson Contours,
Journal of Applied Physics, Vol. 14, pp. 30-36 (1943).
54. Bush, V., and S. H. Caldwell, Thomas-Fermi Equation Solution by the
Differential Analyzer, Physical Review, Vol. 38, pp. 1898-1902 (1931).
55. Carter, G. K., Numerical and Network-analyzer Tests of an Equivalent
Circuit for the Elastic Field, Journal of Applied Mechanics, p. A- 162
(September, 1944).
56. Carter, G. K., and G. Kron, A-C Network Analyzer Study of the Schro-
dinger Equation, Physical Review, Vol. 67, pp. 44-49 (January, 1945).
57. Clarke, E., and S. B. Crary, Stability Limitations of Long-distance A-C
Power Transmission Systems, Transactions of the American Institute of
Electrical Engineers, Vol. 60, pp. 1051-1059 (1941).
58. Concordia, C, Network and Differential Analyzer Solutions of Tor-
sional Oscillation Problems Involving Nonlinear Springs, Journal of
Applied Mechanics, Vol. 12, pp. A43-A47 (March, 1945).
59. dePackh, D. C, A Resistor Network for the Approximate Solution of
the Laplace Equation, Review of Scientific Instruments, Vol. 18, pp.
798-799 (1947).
60. Hartree, D. R., and J. R. Womersley, A Method for the Numerical
or Mechanical Solution of Certain Types of Partial Differential Equa-
tions, Proceedings of the Royal Society (London), Vol. 161A, pp. 353-
366 (1937).
61. Hartree, D. R., and A. Porter, The Application of the Differential
Analyzer to Transients on a Distortionless Transmission Line, Journal
of the Institution of Electrical Engineers (London), Vol. 83, pp. 648-656
(1936).
62. Hartree, D. R., The Application of the Differential Analyzer to the
Evaluation of Solutions of Partial Differential Equations, Proceedings
of the First Canadian Mathematical Congress, Montreal, 1945 (University
of Toronto Press, Toronto, 1946), pp. 327-337.
63. Kron, G., and G. K. Carter, Numerical and Network Analyzer Tests
of an Equivalent Circuit for Compressible Fluid Flow, Journal of the
Aeronautical Sciences, Vol. 12, p. 232 (April, 1945).
64. Levin, J. H., On the Approximate Solution of a Partial Differential
Equation on the Differential Analyzer, Mathematical Tables and Other
Aids to Computation, Vol. Ill, No. 23, pp. 208-209 (July, 1948).
65. Maginniss, F. J., Differential Analyzer Applications, General Electric
Review, Vol. 48, pp. 54-59 (May, 1945).
66. Massachusetts Institute of Technology, Department of Electrical Engi-
neering, Center of Analysis, Tables of Supersonic Flow around Yawing
Cones, Report 3 under Contract NOrd 9169.
67. Peterson, H. A., and C. Concordia, Analyzers for Use in Engineering and
Scientific Problems, General Electric Review, Vol. 48, No. 9, pp. 29-37
(September, 1945).
250 COMPUTING SYSTEMS
68. Reed Research, Inc., A Constant Power Circuit and Its Application to
Instrumentation and Computation; Unpublished, Washington, D. C;
Oct. 12, 1949.
69. Schumann, T. E. W., The Principles of a Mechanical Method for Cal-
culating Regression Equations and Multiple Correlation Coefficients
and for the Solution of Simultaneous Linear Equations, Philosophical
Magazine, Vol. 29, Seventh Series, pp. 258-273 (March, 1940).
70. Walters, G., and R. L. Tanner, Universal Tuning Curves for Reentrant
Cavity Resonators, Technical Report 2, ONR Contract N6-ori-106 Task
III (Aug. 15, 1947).
71. Whinnery, J. R., C. Concordia, W. Ridgeway, and G. Kron, Network
Analyzer Studies of Electromagnetic Cavity Resonators, Proceedings
of the Institute of Radio Engineers, Vol. 32, pp. 360-367 (June, 1944).
CHAPTER 12
THE FORM OF A DIGITAL COMPUTER
12-1. Introduction
In the chapters which have preceded this one, the means for
performing automatic calculations have been described in general
terms. In particular, a detailed description of elementary com-
ponents has been given, and it has been shown how these com-
ponents can be combined to perform arithmetic operations
rapidly. Also a description of some necessary steps in the
integration of components into a machine has been presented.
Since these machines depend essentially on the system of arith-
metic which is used, and since some systems are more efficiently
utilized in computing equipment than others, a discussion of
arithmetic systems was included. Since the form of a calculation
depends on the details of the means chosen to carry out various
simple arithmetical steps (such as extraction of a square root),
generalities concerning the arithmetic components which may
be used as steps in a calculation have been discussed. In order
that the size of a calculation at hand may be estimated in terms
of machinery involved, desk calculators, punched-card computing
systems, existing and planned digital computers, and existing
analog computers have been described; these descriptions were
incomplete, for they were intended only to give some idea of the
relative extents of the calculations which are suitably carried out
on the various machines.
In the chapters which follow, the circuits and the mechanisms
of the physical computing and data-handling components which
are now available and which are expected shortly to be available
are described in sufficient detail to permit rough estimates of
applicability and the expense of applying them in machines.
Chapter 12 is intended as an aid in choosing components.
12-2. The Field of Application
When a large-scale digital computing machine is to be built, a
field of application for this machine presumably exists and is
251
252 COMPUTING SYSTEMS
fairly well defined. As a matter of practicability and economy,
the machine may be designed to carry out the calculations
involved in problems in this field only.
The designation of a machine as a general-purpose machine
simply indicates that the field from which problems are likely
to be extracted is reasonably broad. A special-purpose machine
is a machine designed to solve problems from a narrower field.
However, one can expect to discover that any given machine,
even a machine designed for a rather narrow class of problems,
can be used effectively to solve problems outside the class for
which it was designed. In short, it is practically impossible to
design a machine so specialized that it will have value only with
respect to the field of application originally intended. Nor is
there any computer which is superior to any other computer
with respect to every problem. In short, there is no completely
general-purpose machine.
The problem of designing a machine is then defined only
approximately by the field of calculations to which it is to be
applied. In general, the narrower the field, the simpler or the
faster the machine. However, there may be some question
whether a net gain is achieved by building a special-purpose
machine. A conventional general-purpose computer may be
capable of sufficient speed, and it may be less expensive to
acquire such a machine than to develop a more highly specialized
though possibly simpler computer.
The final test of the applicability of a machine to a field of
problems lies in an explicit demonstration of a program under
which the machine will carry out each of the calculations required.
From this program and from the machine's speed and reliability,
an estimate of the speed and reliability of the calculation can be
made. There is no other way to make this objective estimate.
12-3. The Estimate of Size and Speed
Any calculation must be factored into a set of elementary arith-
metic operations before it can be carried out. Once this factoriza-
tion has been accomplished, it is possible to estimate the size of
the calculation. In Chap. 5 this factorization of a simple
problem was illustrated, and an explicit program for the particular
problem was set forth. If a time limit is placed on the length of
the calculation, either arbitrarily or naturally through the
THE FORM OF A DIGITAL COMPUTER 253
application, then the rate at which the various arithmetic opera-
tions must be carried out is determined, and from this rate the
size of the machine required can be estimated. In particular,
under an assumed rate of multiplication, for example, the number
of multiplying units required can be determined. If this number
exceeds one, the machine is likely to be so complex that its
application will be limited, and its operation as a general-purpose
computer will be difficult. It will then be necessary to examine
the factorization of the calculation program critically to deter-
mine how more than one unit can be utilized. Thus, if each
multiplication depends for one factor upon all preceding multi-
plications, there is no point in increasing the number of multiply-
ing units, for only one multiplication can be carried out at one
time in any event. On the other hand, if the problem consists
of nothing but matrix operations on vectors, one multiplying
unit might be conveniently utilized to compute each of the com-
ponents of a vector.
In general, the extent of the complexities associated with
multiunit computing machines is great. The chief motivation
for increasing the speed of computing units has been the desire
to reduce the number of units in a machine without reducing its
speed.
Specifically, the choice of the components built into a machine
must be based upon the programming of representative problems
from the field to be attacked. This programming Avill indicate
the amount of storage required, the nature of the input required,
the nature of the output, the rate of calculation in terms of
elementary operations of the various kinds per second, and the
number and nature of the different operations the machine must
carry out. From these numbers an estimate of the feasibility
of the machine can be obtained by a search through the lists of
components; if no components exist which provide the facilities
required, either a more efficient reprogramming is required or,
failing this, a more modest goal must be set for immediate
attainment.
12-3-1. An Example. Suppose it is desired to calculate, by
means of a digital computer, the position of a target tracked by
Raydist2 equipment. Consideration of this problem will provide
us with an example of the factoring of a calculation into a set of
elementary arithmetic operations for machine solution.
254 COMPUTING SYSTEMS
Raydist is a radio navigation and tracking system. It is
based on the measurement of the relative phase relationship
between continuous-wave signals received at different locations.
When the Raydist system is applied to the problem of tracking
a target through three-dimensional space, four fixed stations are
required. These may be represented in cartesian coordinates as
Pi{xhyhzi) ; P2(x2,y2,z2) ; P*(xZiy3,zz) ; Pi(x4,y4,z4)
The position of the target is P{x,y,z). Comparison circuits
in the Raydist equipment give values Vi, v2, and v3, which are the
differences between the distance from the target to a fixed reference
point Pa and the distance from the target to each of Pi, P2,
and P3. vh v2, and vz are related to the coordinates of the four
fixed points and the target by the three quadratic polynomial
equations in three unknowns which follow :
vi = V(x — z4)2 + (y - y4)2 + (z - z4)2
)2 + (z - z,)2
(12-1)
- VO - zi)2 + {y - 2/1)2 + (z - zi)'
v2 = y/{x — xA)2 + (y — 2/4)2 + (z — Zi)2
- V(% - Z2)2 + (y - 2/2)2 + (z - z2)'
vz = V(x - X4)2 -f- (y - yA)2 + (z - z4)2
- V(x - xz)2 + (y - 2/3)2 + (z - z3)2
These equations are equations of hyperboloids of revolution,
each with one focus at the point P4. The other foci are at points
Pi, P2, and P3, respectively. The problem is to solve for the
coordinates (x,y,z) of P, knowing all the other numbers.
A Formulation of the Problem. One formulation of this
problem is based on the assumption that the target moves with
restricted accelerations and that a fairly continuous record of its
position is desired. Thus, a system of sharpening an estimated
path of the target will be adequate. The position after any
step can be estimated on the basis of its position after the preced-
ing step and its average velocity during the preceding step.
Thus, if the calculations of position P occur after equal incre-
ments of time, so that the kih calculation occurs at the time k At
with At constant, and if pk(xk,yk,zk) denotes the position at the kth
time interval, then the coordinates of Pk+1 can be estimated as
xk+i = 2xk — xk~l
yk+l = 2yk - yk-1 (12-2)
zk+1 = 2zk - zk~l
THE FORM OF A DIGITAL COMPUTER 255
The accuracy of this estimate is guaranteed by the size of At and
the extent to which the acceleration is restricted. It is to be
assumed that the initial position P° is known accurately.
With this formulation an extension of Newton's method may be
applied. For this example Eqs. (12-1) are reduced to polynomial
form:
AiX2 + Biy2 + dz2 - 2Diyz - 2EiZX - 2Fay - 2G{x
- 2HiV - 2Uz = Vi} i = 1, 2, 3 (12-3)
Here all the coefficients are functions of the known numbers in
Eqs. (12-1) (the coordinates of Pi, P2, P3, Pi and the numbers vh
V2, v3). The algebra involved in the transition from Eqs. (12-1)
to Eqs. (12-3) consists in rearranging Eqs. (12-1) so that a radical
is isolated on one side of the equation, squaring, again rearranging
so that the only remaining radical is isolated, and again squaring.
The process can be carried out using the literal coefficients shown
in Eqs. (12-1), and explicit formulas for the coefficients in Eqs.
(12-3) in terms of these letters can be exhibited.
Once the coefficients in Eqs. (12-3) are known, the approximate
values of x, y, and z to be sharpened can be substituted in the
left members. For this substitution the amounts that Vi, V2,
and V3 differ from the actual values generated by the approximate
x, y, and z may be denoted by AVi, AV2, AV3; the problem is to
modify x, y, z by changing to values x + Ax, y + Ay, z + Az so
that changes of the left-hand members of the Eqs. (12-3) induced
by the change in x, y, z are just AVi, AV2, AVz. This can be
achieved approximately by linearizing the problem through the
use of differentials and solving the three equations:
dJl dx + <!pdy + ?p dz = dV i = 1, 2, 3 (12-4)
ox oy oz
simultaneously for dx, dy, and dz in terms of dVi, dV2, dVs. If
the values AFi, AV2, AV3 are substituted in place of dVi, dV2, dV3,
numbers corresponding to dx, dy, dz may be found. These
differentials are approximately equal to the actual Ax, Ay, Az,
which must be added to the assumed values of x, y, z in order to
account for accelerations during the time interval A£. Thus,
the approximate solution will have been sharpened by the method
of Newton.
In summary, this approach to the solution involves the fol-
lowing steps :
256 COMPUTING SYSTEMS
1. Read ah a2, and a3 from Raydist dials. (These are the
phase differences between signals as received at different
stations.) Multiply by a factor k to convert dial readings
from wavelength of radio-frequency carrier to distances vh
v2, v 3 in some convenient scale.
2. From Vi computed in step 1 and constants Li, Mi, . . . , T%
involving the coordinates of Pi, P2, Pz, Pa, compute A{, Bi}
d, etc., the coefficients of Eqs. (12-3).
3. From the values of xk~1, yk~1, zk~l, xk, yk, and zk computed
in the two previous calculations, and with Eqs. (12-2),
calculate approximate values of xk+1, yk+l, and zk+l.
4. Use the coefficients calculated in 2 and the approximate
distances calculated in 3 to compute the nine partial-deriva-
tive coefficients of Eqs. (12-4).
5. Assemble the coefficients found in 4 into a Jacobian matrix
and compute the value of the nine minor determinants of
the nine matrix terms. (Note: The Jacobian matrix of a
set of differential equations is the matrix formed by the
derivative coefficients.)
6. From the terms computed in 4 and the minors computed in
5, compute the value of the Jacobian determinant of the
Eqs. (12-4).
7. Substitute the coefficients of Eqs. (12-3) computed in 2
and the approximate distances computed in 3 into the left-
hand sides of Eqs. (12-3). Subtract the value computed
from the values of Vi computed for the right-hand sides of
the equations. Label the differences AV{.
8. Use the values of AV* computed in 7 as substitutes for dVi,
and the values of the minors and the determinant computed
in 5 and 6 to solve Eqs. (12-4) for dx, dy, and dz. Label the
results Ax, Ay, and Az, respectively.
9. Add Ax, Ay, and Az to xk+l, yk+1, and zk+l, respectively.
These sums are the sharpened values of xk+l, yk+1, and
zk+1.
Breakdown of the Problem into Elementary Steps. In order to
determine the size and speed of the computer required to handle
the problem just outlined in a given length of time, it is necessary
first to arrange the steps in a chronological order which will
allow the computation to proceed directly from the input data
THE FORM OF A DIGITAL COMPUTER 257
to the final result. This has been done in the foregoing section.
It is necessary further to count the operations of each type. An
illustration of how this might be done is presented in tabular form
in Table 12-1, along with a symbolic representation of the opera-
tions listed in the preceding section.
Table 12-1 shows the number and nature of the various opera-
tions required to estimate coordinates and to sharpen the estimate
once. Slight deviations can be made from the schedule outlined,
and in a binarj^ computer, multiplication by powers of 2 may be
accomplished simply by shifting the multiplicand. Since
division is required only once, it might be desirable to perform
division by an iterative process involving only addition and
multiplication rather than provide a divider unit for this par-
ticular problem. A description of such a method appears in the
Annals of the Commutation Laboratory of Harvard University1
and is repeated on pages 122-123 supra.
The time interval At is established on the basis of the maneu-
verability or possible acceleration of the target and the precision
with which it is desired to track the target. The latter factor
also determines the size of the numbers to be handled in the
computer. For purposes of illustration, let it be assumed that
the coordinates must be calculated every 0.1 second in order to
render valid the approximations involved in the method outlined.
The requirement for 10 solutions per second demands that
automatic input equipment be employed. The detailed specifica-
tions for automatic input equipment depend upon the output
of the measuring equipment and the arithmetic system used in
the computer. The primary physical quantities representing
the output of the Raydist system are a pair of audio-frequency
voltages which differ in phase and actuate an integrating syn-
chroindicator. Each cycle of phase shift might be counted with
a set of electronic counters such as those described in Sec.
13-5. Undoubtedly other devices would evolve from a careful
study of the problem. Whether or not the digital data from the
input equipment are fed directly into the arithmetic units of the
computer or into a storage device depends upon whether on-line
or off-line operation is being sought. In the former case, the
computer solves for points on the trajectory as the experiment is
performed ; in the later case, the computations may be performed
at a later time and at a scaled-down rate.
258
COMPUTING SYSTEMS
Table 12-1
Arithmetic processes
Step
No.
Operation
Add
Multi- ~.
i )i-
or sub-
ply or
vide
tract
square
1
Vi = kai
3
2
4»? = 4(^)2
Ai = 4»J + ^
Bi = \v\ + Mi
d = 4v\ + #»•
Di, Ei, and Ft- are constants.
3
3
3
6
d = 4Miv] + Ni
3
3
Hi = Wivl + Pi
3
3
Ii = 4Qivl + Rt
3
3
vt = {vlY
3
Vi = v\ + SiV2 + Ti
6
3
3
Approximate values:
4+1 = 2xk - x*-1
1
1
yk+l = 2yk _ yk-l
1
1
z\+l = 2zk - zk~l
1
1
4
^ = 2(Atx - EiZ - FiV - Gt)
ox
9
12
^ = 2(Biy - DiZ - Fix - Hi)
dy
9
12
?p = 2{CiZ - DiV - EiX - h)
oZ
9
12
5
Let
dVi dV2 dVz
dx dx dx
dVx dV2 dVz
= Dj, determinant of Ja-
dy dy dy
cobian matrix
dVx dV2 dVz
dz dz dz
Find the nine minors, where
dV2 dVz
M1<x =
dy dy
dVj dV3
dz dz
9
18
6
dVi „, dVx ,- , dVi ,T
2
3
Find x2, y2, z2, 2yz, 2zx, 2xy, 2x, 2y, 2z
12
THE FORM OF A DIGITAL COMPUTER
Table 12-1. (Continued)
259
Operation
Arithmetic processes
Step
No.
Add
or sub-
tract
Multi-
ply or
square
Di-
vide
7
AVi = (Aix2 + Biy* + Ciz* - 2DiVz - 2E{zx
- 2Fixy - 2GiX - 2HiV - 2IiZ) - Vi
9
27
8
± = 1 + Dj
A7,(MU) - AVziMi.y) + A7,(¥i,,)
dX ~ Dj
-AFi(M2.x) + AF2(M2>J/) - AF3(M2,Z)
2
2
2
4
4
4
1
rf2/ A,
J AFi(M3.x) - AV2(M3,y) + AF3(M3,2)
d2= Dj
9
Improved:
xk+i ~ xk+i + dx
yk+i ~ yk+i + ^
2fc+i ~ gj+i + dz
1
1
1
T
otals
83
135
1
In the assumed Raydist problem the chief difficulty is in per-
forming the arithmetic operations fast enough. Approximately
135 multiplications are required for each estimate, so if one
estimate is adequate and only one multiplier is employed,
multiplications must be performed in less than 700 microseconds.
It is shown in Chap. 13 that the fastest binary multipliers now
known to exist operate in about 5n microseconds, where n is the
number of binary digits in the numbers to be multiplied per
microsecond of pulse width. If a 1-microsecond pulse width
and a 30-binary-digit precision are assumed, each multiplication
could be carried out in 150 microseconds, which is safely within
the required time.
If the calculations are performed on a high-speed general-
purpose machine, they will probably be taken sequentially. An
examination of the steps listed in Table 12-1 reveals that the
quantities to be stored in addition to the three incoming a,- and
the k, Li, Mi, . . . , Ti constants of the Raydist system are
260 COMPUTING SYSTEMS
almost all of the 83 sums and the 135 products. Thus, the
number of quantities to be stored is approximately 275, and it
will be seen in Chap. 14 that this is a relatively small number for
present-day storage systems.
The output requirements in this example depend almost
entirely upon uses to which the points in the trajectory are to
be put. In some cases the position of the target transmitter
might be used directly to control some other process. In other
cases, a permanent tabular record of the coordinates of the
trajectory might be desired. Still another possibility is that the
trajectory should be traced by some plotting device for visual
inspection. Equipment with which to perform these functions
is described in Chap. 15. It is possible that it may be satis-
factory to use output data taken at longer time intervals than the
input data, since the time interval at which the input data is
sampled was determined by the requirements of the mathe-
matical method employed.
12-4. Conclusions
In the example discussed, the crux of the difficulty in perform-
ing on-line computing with a general-purpose machine comes in
the number of multiplications required. In other problems the
input equipment or the storage system may prove to be the source
of technical difficulty. In any case, a program similar to the one
outlined for the example given in this chapter must be carried
through in order to find the machine requirements for the various
possible mathematical approaches. In this way, it may be found
that some methods are better suited to the computing machinery
available than other methods which might have seemed more
inviting.
After a preliminary estimate of the relative speeds and capabili-
ties required in various parts of the machine, a complete coding
of the problem must be made before an accurate determination
of speed can be arrived at.
The question of whether on-line or off-line operation is more
suitable can be determined only by applying the speed require-
ments to those physical components which are available. Like-
wise the question of whether or not a general-purpose computer or
a faster special-purpose computer is required depends ultimately
upon whether or not the speeds of the arithmetic units available
THE FORM OF A DIGITAL COMPUTER 261
are great enough to effect a complete solution in the time allotted.
In cases where on-line operation is required because of the nature
of the problem, and where computing speeds are not sufficiently
high, a certain amount of parallel operation is required, and the
designer and the mathematician must devise means of accom-
plishing various steps simultaneously.
REFERENCES
1. Harvard University, Staff of the Computation Laboratory, A Manual
of Operation for the Automatic Sequence Controlled Calculator, Annals of
the Computation Laboratory of Harvard University, Vol. I (Harvard
University Press, Cambridge, Mass., 1946).
2. Hastings, Charles E., Raydist — a Radio Navigation and Tracking Sys-
tem, Tele-Tech., Vol. 6, No. 6, pp. 30-34 (June, 1947).
Part III
PHYSICAL COMPONENTS AND METHODS
The following chapters include a detailed discussion of physical
components which have been introduced in Chaps. 3 and 4
of Part I and which have been described in Part II with regard to
their integration into computing systems. In Chap. 13 is
described the organization of simple arithmetic units using
elementary potential digital computing components and switches
and gates. Chapter 14 deals with the transfer of data in time
and in space. Storage is defined as a transfer of data in time;
switches and cables throughout a computer are described as
components effecting a transfer in space. Data-conversion
equipment, including input, output, and radix-changing devices,
is discussed in Chap. 15. Special physical techniques of possible
use in automatic calculation are summarized in Chap. 16.
Finally, Chap. 17 outlines some of the factors affecting the choice
of components.
CHAPTER 13
ARITHMETIC ELEMENTS
13-1. Introduction
Since the first Oriental abacus was constructed, many ingen-
ious units have been devised to perform arithmetic operations.
The arithmetic elements to be discussed here, however, are
restricted to those of an electronic nature, in which electron tubes
and crystal rectifiers are employed to carry out the desired opera-
tions. These electronic elements have their counterparts in
electromechanical relay systems, mechanical counter wheels,
and other mechanical devices. These will not be discussed
specifically here. However, specific examples will be given
in order to indicate the manner in which high-speed arithmetic
elements are built up from individual switches, gates, and
counters. These examples will serve to indicate how other
more complicated systems may be designed from basic com-
ponents of any type and to give an idea of the total amount of
equipment required to meet various specifications. The differ-
ences between serial and parallel arithmetic operations are
reviewed so that elements performing these operations may be
comprehended. The characteristics of fixed-cycle and variable-
cycle operation are also mentioned so that the differences in their
requirements may be understood. Examples of coincidence
adders and ring-type adders are described. Finally, a discussion
has been included of the incorporation of adders into complete
arithmetic units. Emphasis has been given to arithmetic units
of the binary type, but these may be expanded to compute in
radix higher than 2 by an extension of the procedure outlined in
this chapter. In the material which follows, it may be assumed
that numbers are binary unless otherwise designated.
13-2. Series versus Parallel Operation of Arithmetic Units
An initial choice which must be made in deciding the method
of computation in an automatic digital computer is whether
265
266
PHYSICAL COMPONENTS AND METHODS
serial or parallel arithmetic elements are to be used. To indicate
the fundamental difference between serial and parallel arith-
metic units, consider two such elementary adders. In a serial-
type adder, as shown in Fig. 13- la, the adder receives simul-
taneously only a single pair of equal-order digits of the addend
and augend. The lowest order, or right-hand, digits of each
number are added first, and a sum and carry are formed. This
carry and the second digits are then added, etc., in succession.
Thus, if 0,638 is to be added to 0,092, the arithmetic unit first
receives a 2 and an 8 to add. The modulo 10 sum 0 is registered
in the adder, and the carry digit 1 is stored to add to the pair
ADDEND
0
6
3
8
ADDER
0
0
9
2
AUGEND
SUM -0730
CARRY - —
ONE ADDITION TIME
STORAGE
Fig. 13-la. Block diagram of serial addition system.
of second-order digits 9 and 3. These three digits are summed
during the time called the second addition time and result in a
sum of 3 and another carry of 1. This process is continued until
all the sums have been formed, in this case, two more times.
Serial arithmetic might be considered desirable in conjunction
with a cyclic storage medium of large capacity and low access
time.
In a parallel adder all pairs of equal-order digits in the addend
and augend are entered into the adder simultaneously. Thus,
the number of adder units is equal to the number of digits in the
largest of the numbers to be added. Each adder unit is identified
with a digit-order number, and it is cascaded with the others in
ascending digit order as illustrated in the block diagram of Fig.
13-16. To form the sum of 0,638 and 0,092, of the previous
example, the first-order digits 8 and 2 are paired together and
entered into the right-hand adder unit. At the same time the
second-order digits, 3 and 9, enter the second adder unit to the
left, etc., for all four pairs of digits. Additions of all pairs
of digits take place simultaneously. Carries are formed in
adders I and II. These carries are passed on to the adders of
ARITHMETIC ELEMENTS
267
next higher order, II and III, respectively, where they are added
to the initial sums; this may result in further carries, so that
in the extreme case a carry could travel from the lowest order
right-hand adder to the highest order left-hand adder.
The major difference between these two methods is that when
two numbers having n significant digits are added, a parallel
adder requires n times as many individual adder units as a serial
adder. The serial adder, however, requires n addition time units
in which to find the sum, whereas the parallel adder requires but
one addition time unit plus sufficient time in which to allow n
ADDEND
AUGEND 0
0
<
[
9
3
.■r~
2
1
E
ADDERS IV
"
II
1
SUM C
t
7
3
Ln
0
Fig. 13-16. Block diagram of parallel addition system.
successive carries. The differences between other arithmetic
units which operate serially and in parallel are similar.
It seems quite feasible to build computers in which both serial
and parallel representation of numbers is employed.5 For
example, in a machine being built by the Raytheon Company,
binary digits are stored serially in acoustic delay lines and are
added in a parallel adder. Conversion of numbers from one
form to another is fairly simple in a machine in which all pulses
are synchronized with a master clock-pulse generator, as illus-
trated in Figs. 13-2a and b. In each case, one-pulse time-delay
circuits delay each digit by a number of pulse times proportional
to the number of the flip-flop in which it is received or has origi-
nated. Each process is started by a single pulse applied to all
gates simultaneously.
The shift register described in Sec. 13-6-3 may also be used as a
serial-to-parallel converter and operates in a manner similar to
the converters just described.
A distinction between series and parallel operation at the
268
PHYSICAL COMPONENTS AND METHODS
level of the mathematical process of addition, subtraction, and
multiplication also exists. Although it is considered rather
complicated to perform several of these processes simultaneously,
SERIAL
STORAGE
PARALLEL
REGISTER
GATING PULSE —
+m
&
-go
FF-0
FF-
FF-2
&
.._rf
Fig. 13-2a. Serial-to-parallel converter.
FF-n
PARALLEL
REGISTER
GATING PULSE —
FF-0
SERIAL
STORAGE
FF-
m
m
&
FF-n
Fig. 13-26. Parallel-to-serial converter.
or in parallel, in a high-speed electronic digital computer, it
is not uncommon to use punched-card calculating machines in
this manner.
13-3. Operation Sequence Control
It is possible to design a computer which requires instructions
only to perform certain arithmetical operations in a given
sequence, the internal control of the machine automatically
initiating one operation upon completion of the previous opera-
tion. In the interest of simplicity of equipment, however, most
present-day computers require that in the preparation of the
problem a particular time be assigned at which each operation
shall be initiated. Since an operation such as addition may
require more time when one set of numbers is added than when
another set is added3 (depending upon the number of carries
generated) and since it is impractical in coding the problem to
ARITHMETIC ELEMENTS 269
predict the time requirement in advance, the maximum amount
of time required for the greatest possible number of carries must
be allowed. Thus, on the average, the computer which proceeds
automatically can perform a given operation faster than one
which must wait the maximum time for each operation. These
two types of operation are sometimes called fixed cycle and
variable cycle.
As arithmetic units are improved, the time requirements for
the two types of operation are becoming more nearly equal and
the speed advantage of automatic control is lessened.
13-4. Elementary Coincidence -type Adders
Chapter 4 described an idealized adder element. This adder
contained two counters. At the start of an addition, the addend
was set up in one counter, called the addend register; the augend
was set up in the other, the accumulator. The accumulator was
then made to count. Starting from its initial position, i.e.,
starting not at zero but at the number representing the augend,
it was made to count the addend. When the count was com-
pleted, the accumulator contained the sum of augend and
addend. Such an adder may be called a counter-type adder.
A coincidence-type adder differs in that pulses representing two
equal-order digits of addend and augend and the previous carry
are received by the adder simultaneously, and the correct sum
and carry pulses are gated out immediately. Its name is derived
from the fact that the output pulses are dependent upon the
coincidences of the input pulses. In this section a number of
coincidence adders are described, simplified electronic circuits
are given, and the arithmetical operations which they can per-
form are outlined. These examples are patterned after the
serial binary-arithmetic equipment developed during the EDVAC
study at the University of Pennsylvania8 and include the follow-
ing types: (1) binary nonalgebraic adders; (2) a binary algebraic
adder; (3) amplitude adders; (4) a coded-decimal adder; (5)
matrix and cathode-ray-tube adders.
13-4-1. Two-input Binary Adders. In order to perform an
addition of two numbers in any radix system, an addend digit,
an augend digit, and a previous-carry digit must be summed.
These three digits may be added either as pairs in two separate
steps or simultaneously in one step. Two types of adders have
270
PHYSICAL COMPONENTS AND METHODS
been devised, one for each of these methods of adding three
digits.
Since the addition of only two of the three digits referred to
constitutes something less than the entire operation, the term
half adder has been used to signify a device in which two digits
are added. A combination of two half adders, which can add
three digits in two separate steps, is called a two-input adder. A
system in which three digits are received simultaneously at the
input is called a three-input adder. The two-input adder is
discussed in this section.
A half adder delivers a proper sum and carry digit for each pair
of digits which it receives. Since these are not always the final
sum and carry digits, they will be designated as S' and C",
respectively. Table 13-1, a binary addition table, shows the
sum and carry for each possible combination of two binary
digits, A and B, and will serve to illustrate the binary addition
process.
Table 13-1
Addend
Augend
Sum
Carry
A
B
S'
C
0
0
0
0
0
1
1
0
1
0
1
0
1
1
0
1
Suppose we want to design a device capable of performing the
binary addition process for each of these combinations of values
of A and B. This device, called a half adder, will consist of
and, or, and not circuits, as described in Chap. 4, arranged so as
to carry out the operations exemplified in Table 13-1. To deter-
mine what this arrangement of and, or, and not components
should be, let us state a set of rules to be used as functional
specifications for the adder. These rules will be derived from
an inspection of Table 13-1 and will be stated in the terminology
of formal logic.
It may be seen that 1 and 0 are the two possible values of A,
B, S', and C ', corresponding to the logical concepts true and
false.
The logical concepts and, or, and not, as embodied in com-
ARITHMETIC ELEMENTS
271
ponents of digital computation (e.g., gating circuits), are denned
by the following statements in the language of formal logic4,7
in which the letters A and B themselves denote statements which
can be either true or false:
1. A and B denotes the statement which is true if and only if
both A and B are true. (Applying this definition to a
gate circuit, A and B represents the condition which obtains
when the value 1 appears both at A and at B.)
2. A or B denotes the statement which is true if and only if at
least one of the statements A, B is true. (That is, A or B
denotes the condition which obtains in an anti-Rossi circuit
when there is a 1 at A, at B, or at both A and B.)
3. Not A denotes the statement contradictory to A. If not A
is true, A is false. [That is, not A denotes the condition
which obtains when there is a 0 at A. Not (A and B)
denotes the condition which obtains when the value 1
does not appear at both A and B.]
4. A = B denotes a statement which is true if and only if
either A and B are true or A and B are false. (That is,
A = B means that if there is a 1 at B, there is also a 1 at A ;
if there is a 0 at B, there is also a 0 at A.)
On the basis of these definitions, we can derive and state the
following rules of binary addition from an inspection of Table
13-1:
S' = (A or B) and not (A and B)
C" = A and B
Figure 13-3 is a block diagram showing an arrangement of
logical and, or, and not components which enforces these rules
of binary addition.
A*
OR
AND
B«
t
NOT
A"
ANO
J
B»—
Fig. 13-3. Half adder, block diagram.
A vacuum-tube equivalent of the same arrangement is illus-
trated in Fig. 13-4.
272
PHYSICAL COMPONENTS AND METHODS
In Fig. 13-4 the first grids of tubes Vi and 72 serve the function
of or circuits, and the second grids serve as the and-not circuits,
since their input is received from the and circuit output of V%.
V4 serves as a clock-pulse gate not shown in the block diagram.
Positive pulses are required to represent 1 digits in this con-
figuration. Vi or Yi will pass a pulse if either receives a 1 pulse
from A or B. If a pulse enters through both A and B, T3 passes
a carry pulse and also cuts off Vi and Vi by driving their second
grids negative, thereby inhibiting the pulse which would normally
— (jQ— = CORRECTIVE DELAY
Fig. 13-4. Half adder, schematic diagram. The initials C.P. stand for
clock pulse.
have come from Vi and V2. Via and V±b constitute a gate
through which clock pulses are passed when F4 is cut off. This
is done to regenerate the pulses, as described in Chap. 4. The
squares marked with C are corrective-delay networks, which
are required when a tube performs a not function requiring pulse
inhibition such as Vz performs with Vi and F2 in Fig. 13-4. In
order to inhibit reliably, it is necessary for the negative pulse to
reach the second grid before the positive pulse reaches the first
grid. This is accomplished by delaying the signals to Vi and V2.
Another case where a corrective delay is employed is in the gating
circuit which causes clock pulses to replace other pulses. In this
case, the clock pulse should be delayed slightly. In both cases,
the undelayed pulse should be broadened so that it overlaps the
delayed pulse.
The next step of the binary addition involves carry-over from
the lower order digital addition. If a synchronous serial system
is being employed, the carry pulses can be stored in a delay circuit
having a one-pulse time delay. The development of the second
half of a full binary adder stems from the rules of binary arith-
ARITHMETIC ELEMENTS
273
metic illustrated by Table 13-2 in which two digits A and B
have been added to produce S' and C", and in which the carry
from the previous addition is C". In the first three columns are
shown all eight possible combinations of three binary digits
taken two at a time. The fourth and eighth rows are incom-
plete, because a sum and carry of 1 is an impossible combination
in binary arithmetic, just as a sum of 9 together with a carry of 1
is an impossible combination in the decimal system when only
two digits are added.
Table 13-2
Previous carry
Initial sum
Initial carry
New sum
New carry
C"
S'
C"
S
C
0
0
0
0
0
0
0
1
0
1
0
1
0
1
0
0
X
I
1
0
0
1
0
1
0
1
1
1
1
1
0
0
1
X
I
I
The rules with which this table conforms also may be stated in
logical terms thus:
S = (£' or C") and not (Sf and C")
C = (£' and C") or C
These rules are similar to those of a half adder if we substitute S'
for A and C" for B. There is an additional digit C" which must
also be recognized by the output carry C. A full adder can be
compounded of two half adders and an or circuit in the manner
illustrated in Fig. 13-5.
Figure 13-6 is a schematic diagram of a serial adder, correspond-
ing to the block diagram shown in Fig. 13-5. Tubes Vi to V±
form the first half adder, and V-0 to V% form the second. The
squares marked C indicate the presence of clock pulses. Their
effect is simply to synchronize the times of arrival of pulses at
various points in the circuit. The interval between successive
clock pulses is the interval between the instants of arrival at the
inputs A and B of successive pairs of corresponding digits of the
numbers to be added.
274
PHYSICAL COMPONENTS AND METHODS
Suppose that two numbers A A' A" and BB'B"sLre to be added.
A" and B" represent the least significant digits of the two num-
bers. Suppose that each is 1. Following the notation used in
Table 13-2, let C" designate the carry generated by their addition
in the half adder formed by tubes V\ to F4. This carry pulse is
gated through V$ and Fio into a one-pulse delay circuit repre-
A'
OR
AND
1
OR
AND
e —
-ev
— ** SUM
f
t
A
8
AND
—
— ».
NOT
— c^
AND
^
NOT
— -C-
CARRY TO
l ■»
OR
DIGIT OF
NEXT-*-
HIGHER
ORDER
Fig. 13-5. Two-input adder, block diagram. Two half adders (see Fig.
13-3) are combined to form this system for adding three digits in two steps.
Fig. 13-6. Two-input adder, schematic diagram. The sum digits appear
serially at S. Carries from each addition of S' and C" (see Fig. 13-5) are fed
back into the second half adder through the one-pulse delay circuit, IP.
sented by the square marked IP. Here it will be delayed for one
clock-pulse interval.
Now suppose that the next two digits A' and B' are 1 and 0.
Then their sum S' is 1. The pulse representing S' arrives at F5
at the same instant that C" (which was delayed one pulse time)
arrives at Ve.
Tubes V$ to Vs constitute another half adder. Since C" and
S' are both 1, the and tube V7 starts to conduct, blocking F5 and
ARITHMETIC ELEMENTS
275
F6 and generating a negative pulse which is fed back into V9.
V9 is an or tube. A negative pulse produced by a carry from
either half adder will make V9 generate a carry pulse to be stored
in the delay circuit. The pulse generated by Vi, when C" and S'
are applied to its two grids, therefore causes Vg to store another
carry pulse in the delay circuit. (This pulse, after being delayed,
reaches V& simultaneously with the sum of A and B, the two
Fig. 13-7. Two-input serial adder using only eight tube envelopes.
digits of next higher order.) It can be shown, by following other
possible combinations of input pulses through the circuit, that it
will perform all the requirements specified by Table 13-2.
It is worth noting that V9 can never be pulsed on both grids
simultaneously because if Sf is 1, C must be 0 and there is there-
fore no pulse on the second grid of F9; if Sf is not 1, there can be
no pulse on the first grid of V$.
Since an adder of the type described uses nine logical units,
and since there is usually a choice of several circuits for each
logical unit, there are many possible variations of the simple
coincidence adder.
A two-input adder which is a slight variation of the one
described is illustrated in Fig. 13-7. Only eight tube envelopes
are used in this circuit as compared to 10 in Fig. 13-6. The
276
PHYSICAL COMPONENTS AND METHODS
half adders are composed of tubes Vi to F3 and 75 to V7, respec-
tively. V \ is simply an inverter for V8, the or circuit. The out-
put of Vs is the carry C, and it is fed into a one-pulse time-delay
circuit, where it is stored. The output of the delay line is
connected to the input of the second half adder, so that carry
pulses reach the half adder at the same time as the modulo 2
sum of the next pair of digits.
13-4-2. Three-input Binary Adders. The second type of
coincidence adder to be considered has three inputs and two
outputs and may be operated either from pulses or static volt-
ages. Thus it is more versatile than the one just discussed.
Only one rise time is required for the carry pulse, and as a result
less time must be allowed for a complete carry when this type
of unit is used in a parallel adder.
To derive the logical units of the three-input adder, consider
the full binary addition table shown in Table 13-3. The rules
Table 13-3
Previous carry
Addend
Augend
Sum
Carry
C"
A
B
S
C
0
0
0
0
0
0
0
1
1
0
0
1
0
1
0
0
1
1
0
1
1
0
0
1
0
1
0
1
0
1
1
1
0
0
1
1
1
1
1
1
with which this table conforms are
S = (A and B and C") or {A or B or C" and not
[(A and B) or (A and C") or (B and C")])
C = (A and B) or (A and C") or (B and C")
The block diagram shown in Fig. 13-8 illustrates a circuit
for enforcing these rules in a computer. Many variations of
this circuit are possible, but the following may be considered
representative.
Figure 13-9 is a circuit in which the digit 1 is represented by a
positive pulse. Let us examine its behavior under each of the
ARITHMETIC ELEMENTS
277
A. —
L-j
8*
OR
AND
OR
»»S
l — '
*
C« —
t
NOT
A» —
AND
A»—
AND
_
B« —
AND
C'i
A. —
AND
CS—
Fig. 13-8. Three-input adder, block diagram.
S(SUM)
C (CARRYJ
Fig. 13-9. Three-input adder, schematic diagram.
278
PHYSICAL COMPONENTS AND METHODS
eight conditions represented by the first three columns of the
table. Initially the shaded tubes are conducting. If both
F9 and Fio are cut off, a positive pulse will appear at S. If V\ia
is cut off, a positive pulse will appear at C.
The first row in the table can be disposed of immediately.
No pulses appear on any of the input leads, and no pulses are
produced in either of the outputs S and C.
S(SUM)
C (CARRY)
Fig. 13-10. Variation of three-input adder circuit.
Each of the second, third, and fifth rows has a 1 in A or B or C" .
Either Vi or V2 or V3 will be triggered; Vg and Fio will both be
cut off; a positive pulse, or 1, will appear at S.
The fourth, sixth, and seventh rows contain the combinations
A and B, B and C" , and A and C" . One of these three combina-
tions will trigger F4, Vi, or V&, which will prevent any of Vi, V2,
and Vz from conducting. There will be no pulse, i.e., 0, at S.
At the same time, if any of V4, V&, or F6 conducts, the grid of
Vi2a will drop, the tube will be shut off, and a 1 will appear at C.
If both A and B or both B and C" are 1, then either F7 or Vs
will conduct also. But either alone, cutting off only one of Vq
and Vio, has no effect on the output S.
The only remaining combination is illustrated in row eight,
ARITHMETIC ELEMENTS
279
where all three inputs are 1. The effect of this combination
differs from the effect of a combination of two only in that both
Yi and Vs conduct, cutting off both F9 and Fio, producing a
1 at 8.
Figure 13-10 is a slight variation of Fig. 13-9 in which tubes
Vi, V2, and V3 provide the three single inputs which can cause a 1
digit to be passed through Vn. A coincidence of two or three
Fig. 13-11. Three-input adder circuit using twin triodes.
input pulses is sensed by the V^-Vs-Vq combination, which can
cause a carry pulse to pass through V\2 and also inhibit the sum
pulse by shorting Vn through F9 and V\q. However, the latter
pair can be prevented from shorting out Vn in case all three
input leads receive input signals, whereupon tubes Vn and V% are
both caused to conduct. In this case, Vi and V% cut off V$ and
Fio in spite of their positive grids, and the original pulse to Vi,
V2, and Vz is allowed to act through Vn.
Another three-input coincidence-type adder may be derived
from triode tubes connected in the parallel, or Rossi, coincidence
circuit described in Chap. 4. As an example, in Fig. 13-11 a
negative pulse on either input A, B, or C" cuts off Vua and thereby
280
PHYSICAL COMPONENTS AND METHODS
causes a sum pulse to appear at the anode of Vi2&. The three
input leads are so connected to the six grids of F4, V&, and F6
that if any two of these receive a pulse, one of these tubes will be
wholly (both sides) cut off. This causes at least one of the
buffers V9a, F9&, or Fio to conduct and thereby cut off Fi2o. In
this circuit Vn acts as a logical D and not (D and E); it will
allow a sum pulse to pass if D alone receives a pulse, but will not
let it pass if D and E both receive a pulse, as in the case where
two or three input pulses are received at A, B, and C. When
»-OUT
C.P.
CARRY
Fig. 13-12. Three-input adder using triple-control-grid gate tube.
three pulses are received, V7 and Vsa are cut off, thereby trans-
mitting a sum pulse directly through Fg&. The carry pulse is
passed through F9 or F10 whenever two or three input pulses are
received.
A final example is given to illustrate the simplification which
results from the use of a triple-control-grid gate £ube. As
discussed in Sec. 14-3, this type of tube poses a difficult design
problem at the present time. In Fig. 13-12 a 1 pulse received on
A, B, or C Avill gate a clock pulse out of F5 as a sum. Two pulses,
however, will be detected by V7, V&, or V$ and used to inhibit a
sum pulse through Vi, V2, F3 by holding their second grids
negative. Two pulses will also place a carry pulse in a delay
circuit. Three pulses are detected by Vi, which gates a sum
pulse through F5 despite the inhibiting action of V-,, V%, and F9
on Vi, V2, and V3.
13-4-3. Algebraic Adders. So far, only adders of positive
numbers have been considered. The algebraic adder adds or
subtracts numbers according to their sign. An example of a
method by which this can be accomplished is described and is
illustrated in block diagram form in Fig. 13-13.
ARITHMETIC ELEMENTS
281
First consider the rules of binary subtraction. It may be
facilitated by handling a borrow as a negative carry to the sub-
trahend. In other words, if the digit 1 in the subtrahend
is to be subtracted from 0 in the minuend, the difference is 1,
and a borrow is created. This may be handled by adding 1
to the next digit in the subtrahend. Thus a new subtrahend
B' is created which may be handled as indicated in Table 13-4,
where A — B = D and negative carry C. From this table the
Table 13-4
Original digits
B +C"
A - (B + C")
Minuend
Subtra-
hend
Previous
negative
carry
New sub-
trahend
Inter-
mediate
negative
carry
Final
negative
carry
Differ-
ence
A
B
C"
B'
C
C
D
0
0
0
0
0
0
0
0
0
1
1
0
1
1
0
1
0
1
0
1
1
0
1
1
0
1
1
0
1
0
0
0
0
0
1
1
0
1
1
0
0
0
1
1
0
1
0
0
0
1
1
1
0
1
1
1
following rules can be formulated:
D = (Bf or A) and not (Bf and A)
C = (B' or C) and not (B' and A)
In order to form the new subtrahend B' and the intermediate
carry C ', a half adder may be employed to add B and C" . The
difference D may also be obtained from a half adder since the
rule pertaining to it states that D is the sum digit of the sum of
B' and A. The final carry C is obtained by gating B' or C and
not (A and B') through gate VI. A block diagram of the logical
components which might be employed to obtain these conditions
is shown in Fig. 13-13.
Figure 13-14 illustrates a circuit arrangement to carry out
the rules just stated. Tubes Vi, V2, V3, and F4, comprise a
half adder which transmits a clock pulse representing B' to the
282 PHYSICAL COMPONENTS AND METHODS
I
2
ADDER
1
1
In
HI
AND
NOT
IZ
I
NOT
II
B •
1
2
ADDER
-B— * »~
m
' — ►■
— »-
OR
AND
C'V-—
— C*
Fig. 13-13. Subtractor, block diagram.
Fig. 13-14. Subtractor, schematic diagram.
ARITHMETIC ELEMENTS
283
second half adder, made up of Vs, V&, Vh and F8. Vi also
receives pulses from A and forms the logical A and B', which is
used to suppress the A pulse through V5 and the B' pulse through
Vg when these two occur simultaneously. Vs is a clock-pulse
gate for the difference digit D from F5 or V& (but not both).
Vb and Fe are a part of half adder I and also furnish the not (A
and B') pulse in place of blocks II and III in Fig. 13-13.
The analysis of the carry circuit is not quite the same in the
schematic as in the block diagram, but it is equivalent. Vn
receives B' on one grid and B' and A on the other. The polarity
of the signals is such that the output represents B' and not (Bf and
A). Vq serves an or function by receiving this signal on one
grid and C from the first half adder on the other. Thus the
output of Vq is (C or B') and not (Bf and A). The output of V$
gates a clock pulse through Fio, from which it emerges as the final
carry C.
Algebraic addition may be performed by either an addition or
a subtraction operation, the sign of the sum depending on both
the sign and the relative size of the numbers to be added. The
rules of algebraic addition are shown in Table 13-5 for two
numbers A and B.
Table 13-5
Relative sizes
of A and B
Sign of A
Sign of B
Operation
Sign of
sum S
\A\ > \B\
+
+
+
+
Addition
Subtraction
Subtraction
Addition
+
+
\A\ < \B\
+
+
+
+
Addition
Subtraction
Subtraction
Addition
+
+
It may be seen that the operation to be performed is determined
by the signs of two numbers. If the signs are alike, the operation
is addition; if unlike, subtraction. Moreover, if the signs are
unlike, the relative sizes of A and B determine which is to be
subtracted from the other and the sign of the sum.
If the sign of each number is represented by a binary digit
284
PHYSICAL COMPONENTS AND METHODS
occupying the first space preceding the number and coincident
in time with a clock pulse, a control circuit containing a half
adder may be used on the signs of the two numbers to determine
whether they are alike or different. It should be connected to
detect (A or B) and not (A and B) so that a pulse is produced
when the signs are different. This algebraic-sign-control circuit
is represented by block I of Fig. 13-15 which illustrates the com-
plete block diagram of an algebraic adder. By means of the sign-
CONTROL — I
rz
SWITCHING
CIRCUITS
SUB
©
a
m
£}~
ADO
TANK I
B
SUB 2
TANK 2
Q
C.R
Fig. 13-15. Algebraic adder, block diagram.
control circuit a pair of switches in block II is set so that the
digits are sent either to the adder III or to the two subtracters
IV and V, depending upon whether the signs are the same or
different. The three gates shown are used to remove the sign
pulses accompanying some of the input digits. In the case of
addition, it is necessary to remove only one of the two sign
pulses and pass the other on to the sum because all signs are the
same.
To determine which number is the larger without using any
extra time, tAvo subtracters are provided, and both subtractions
are carried out simultaneously. The subtracter which is sub-
tracting a large number from a smaller generates an extra carry
pulse at the end of the arithmetic operation. This pulse is used
to suppress the whole result before it is transmitted further.
ARITHMETIC ELEMENTS
285
The sign of the minuend is introduced into each subtracter, but
since the difference and the sign are suppressed in the circuit with
the incorrect result, the proper sign is received at S along with the
correct sum.
13-4-4. Amplitude Adders. A group of adders can be com-
pounded on the basis of the principle that discrete voltage levels
may be created in various circuits by applying integral numbers
of pulses simultaneously. The detecting circuits in the adders
Fig. 13-16. Two-input amplitude adder.
previously described respond to all voltages which are not below
a critical value. The circuits described here, however, respond
to pulses above a specified minimum but not above a critical
maximum. Thus, a certain amount of simplification may be
gained. This simplification, however, is realized only at the
expense of greater effort to reduce circuit-component tolerances
and maintain pulse amplitudes within prescribed limits.
An amplitude adder compounded out of two amplitude half
adders is illustrated in Fig. 13-16. Vi is biased so that it can
be made to conduct by the application of one standard pulse,
and V2 is made to conduct by two standard pulses. Therefore
Vi is the logical or and V2 is the logical and for A and B. 73 is
286
PHYSICAL COMPONENTS AND METHODS
conducting and biased so that it will be cut off by one or more
pulses. Therefore it responds to A or B from V\. When both
Vi and V2 are caused to conduct, the two out-of-phase output
pulses cancel at the grid of F3, and no pulse passes. A pulse
through F2 also sends a carry pulse through F4 and into the one-
pulse time-delay line: Vs and V& are identical to V\ and V2 and
comprise the second half adder, which adds the intermediate
sum to the previous carry from the delay circuit. If V2 does not
out s
Fig. 13-17. Three-input amplitude adder.
put a pulse into Vi, there is a possibility that V& will pass a
carry pulse to VA and thence into the delay circuit. V \ and V&
never pass pulses simultaneously because if V2 forms a carry,
the intermediate-sum digit is zero, and F6 does not receive a
sum pulse from Va. This is because a sum and carry of 1 are
mutually exclusive.
Figure 13-17 illustrates a further simplification through the
use of amplitude-sensitive elements. The circuit is the three-
input type in which addend, augend, and carry are all received
at the input. In this circuit, Vs responds to one or more positive
pulses to cause a sum pulse to be gated through F4. V2 responds
to two or more pulses and prevents the sum pulse from leaving F3
by driving its second grid negative. At the same time, it causes
a carry pulse to be gated through F5 and into the delay circuit.
Three simultaneous input pulses are passed by V\ as well as by
ARITHMETIC ELEMENTS
287
the other two input tubes. V\ causes a sum pulse to be passed
through Vi, and V2 again initiates a carry pulse.
Amplitude adders are of particular interest in ternary arith-
metic (based on radix 3). Several schemes have been suggested
for the physical basis of ternary arithmetic, and one having a
nonclassical radix which is easy to deal with physically will be
described. The three digits of a ternary system might be taken
as +1, 0, and — 1, and these might be represented by a positive
pulse, the absence of a pulse, and a negative pulse, respectively.
The significance of the statement that the digits of a ternary
system are +1,0, and — 1 is that the nth-order digit of a ternary
number is +3n-1, 0, or — 3n_1, depending upon the digits +1,
0, or —1 in the nth-order position. Such a representation is
illustrated in Table 13-6.
Table 13-6
Decimal
Normal ternary
Nonclassical radix
0
000
o,
0, 0
1
001
o,
0, +1
2
002
o,
+1, -1
3
010
o,
+ 1, o
4
011
o,
+1, +1
5
012
+1,
-1, -1
6
020
+1,
-1, 0
7
021
+1,
-1, +1
8
022
+1,
0, -1
9
100
+1,
0, 0
10
101
+1,
0, +1
11
102
+1,
+1, -1
12
110
+1,
+ 1, o
13
111
+1,
+1, +1
If the positive and negative pulses are held at an equal and
standard amplitude, several of the rules of ternary addition may
be enforced rather easily. These rules are :
Addend and
augend
Sum
Carry
0 +0
0 + (+l)
o + (-i)
( + 1) +(-D
0
+ 1
-1
0
0
0
0
0
288
PHYSICAL COMPONENTS AND METHODS
To enforce these rules requires only that pulse currents be
passed through a common load resistor and the voltage drop
taken as the sum. This arrangement might be called a pulse-
bucking adder.
The remaining ternary addition rules are:
Addend and
augend
Sum
Carry
( + 1) +( + 1)
(-D + (-1)
-1
+ 1
+ 1
-1
These two rules can be handled by amplitude circuits similar to
those just described. Figure 13-18 illustrates a ternary, ampli-
tude half adder which obeys the rules just stated.
-vww
Fig. 13-18. Ternary, amplitude half adder.
ARITHMETIC ELEMENTS 289
Vi and V2 are normally biased to cut off and therefore respond
only to positive pulses. Furthermore V2 is biased to such an
extent that it will begin to conduct only if a positive pulse is
received at A and B coincidentally. When it does begin to
conduct, it cuts off Vi at its second grid so that only gate Vi
gets a pulse. Likewise in case a single positive pulse appears
at the input, only gate tube F3 receives a pulse. Vz and F4
gate clock pulses into the S' and C output leads. As an example,
when F4 gates a clock pulse corresponding to ( + 1) + ( + 1), S'
receives a negative pulse for the sum digit of — 1, and C receives
a positive clock pulse for a carry digit of +1.
In the lower half of the circuit, V$ and ^6 are normally con-
ducting and respond only to single and double negative pulses,
respectively. F7 and F8 are pulse inverters, and V7 receives an
inhibitory pulse on its second grid to stop the pulse to clock-pulse
gate V9 when two simultaneous negative pulses are received at A
and B. F8 is also a gate and passes a positive sum and a negative
carry when two negative pulses are received at A and B. The
problem of isolating the output circuits is not dealt with in this
drawing.
13-4-5. Coded-decimal Adders. It is possible to assemble
gates and switches to perform addition in any number system
which follows a known set of rules. Any coded-decimal system
is an example of one such computational scheme. The 10
decimal digits are given a code configuration, and arithmetic
operations are carried out according to rules which account for
the relationship between the code and decimal arithmetic. There
are many possible code configurations, one group of which uses
binary digits to represent decimal digits. (Thus there are four
binary digits for each digit in the original decimal number.)
One such code is known as the excess-3 code. In this code, 3 is
added to each decimal digit to give an excess-3 value which is
then represented by a corresponding four-place binary number.
This code has the advantage that the 9's complement used in
subtraction may be formed by transposing Ts and 0's. This
feature of the excess-3 code is illustrated as an example of what
can be done with various codes but does not indicate that it is
the best code for all purposes. There are too many possible
factors which are interrelated with machine details to be con-
sidered in picking a code; therefore, to discuss abstractly the
relative merits of various codes is not helpful.
290 PHYSICAL COMPONENTS AND METHODS
The following rules govern addition in the excess-3 coded-
decimal system:
1. A carry in the fourth binary place coincides with a decimal
carry. As an example:
Decimal notation:
5 + 6 = 11
Excess-3 binary notation:
1,000 + 1,001 = 10,001
2. When two coded-decimal digits in excess-3 code are added
the sum is in an excess-6 code since each digit produced an
extra 3.
Thus two sets of digits can be added directly and checked to
see whether a carry occurred in the fourth place or not. If it
did, the sum may be returned to an excess-3 code by neglecting
the fifth digit and adding 13. If no carry occurred, 3 should be
subtracted from the sum to reduce it from excess-6 to excess-3
code.
The block diagram of a circuit which performs these checks and
additions is shown in Fig. 13-19. It requires a minor-cycle pulse
generator which generates a pulse in coincidence with every
fourth clock pulse.
Two excess-3 coded decimal numbers to be added are intro-
duced serially into half adders I and II at A and B. The delayed
carries produced by this addition are brought to gate Gi, which
also receives minor-cycle pulses delayed one pulse time. The
synchronization between the operand digits and the minor-cycle
pulses is such that the latter reaches G\ at the same time as the
fourth-binary-digit carry (if one occurs). Whenever a fourth-
place carry takes place, flip-flop FF, which has just been reset
by generator I, is set by means of a pulse through G\. Flip-
flop FF in turn opens gate G3 so that binary 1,101, or decimal 13,
is introduced into half adder III in synchronism with the binary
sum Sb of addend and augend. If no fourth-place carry occurs,
FF opens G2, and binary 0,011 from generator II is introduced
into half adder III.
The second adder receives the sum from the first adder and a
+3 or —3 from G2 or G3, respectively. Since the latter pulses
ARITHMETIC ELEMENTS
291
are delayed four pulse times after the former, the first sum is put
through a four-pulse time-delay circuit before entering the second
adder. The second adder performs in a normal manner except
for a provision to inhibit a carry pulse from the fourth binary
digit if it should occur. This is accomplished by passing all
pulses through G4, which is open during all but the fifth pulse
time when the delayed carry from the fourth place would be
H ! HiiHi^rl
1/2
ADDER
II
■©--
MINOR
CYCLE
PULSES
Generated:
EVERY
4th PULSE
TIME
GEN.
RESE"
'/2
ADDER
III
gi^^-Hgz
FF
GENERATOR
— JGEN.II00II
GENERATOR
— |GEN. 1 101
G.P.
gH
'/2
ADDER
IV
NORM
OPEN
— fnp] — n pulse
L— ' TIMES
5P
Fig. 13-19. Excess-3 coded decimal adder.
received. Then the clock pulse closes the gate and eliminates
this undesired carry.
Figure 13-20 illustrates how the block diagram of Fig. 13-19
might be effected with electronic tubes. Vi corresponds to
gate Gi and V2 is the flip-flop circuit which is set and reset by
the two halves of Vs. Vi is merely an inverter for reset clock
pulses. The flip-flop controls gate tubes Vu and Vu correspond-
ing to G2 and Gs. F5 and F7 comprise the +3 or 0,011 generator,
while Vq, Vs, and F9 generate the 1,101 for —3. The sections
of F10 are inverters which introduce the +3 and —3 into gate
tubes Vu and Vu. Vu gates a clock pulse into the second adder
for each pulse received from Vu or Vu. Vu and Vu form a gate,
292
PHYSICAL COMPONENTS AND METHODS
ARITHMETIC ELEMENTS 293
Gr4, and a pair of inverters, respectively, which inhibit the fourth
carry pulse from the second adder as described before.
13-4-6. Other Types of Adders. Addition may also be per-
formed on a diode matrix similar to the code conversion tables
described in Chap. 3. No significant simplification seems to
result from the use of such adders.
Some work has been done to develop electronic adder tubes
which operate with cathode-ray beams and anodes arranged to
produce sum and carry pulses for proper beam deflections.
Although such tubes may ultimately result in a more economical
and compact unit than arrangements using conventional tubes,
the latter are sufficiently flexible and economical to ensure their
use for some time to come. An adder tube was developed at
RCA during the Second World War.6
13-5. Elementary Ring -type Adders
A ring-type adder is essentially a counter which makes sums
by counting out the digits of two numbers to be added. Decimal
ring-type adders are used in the ENIAC and are described in
Sec. 4-5. For binary addition, the counter ring may be reduced
to a single flip-flop like the one illustrated in Fig. 3-2 on page
15. It is first cleared, and then the corresponding digits of
addend and augend are presented to its input in turn. The sum
is produced modulo 2, and another flip-flop or its equivalent is
employed to store the carry.
Since the ring-type adders must receive one operand before
the other, they are not well suited for use in serial adders of the
type described in the previous section. They are, however, a
popular form of adder for parallel arithmetic units.
13-5-1. Parallel Ring Accumulator. An accumulator is a coun-
ter which adds to its contents each number transmitted to it.
An accumulator made of binary rings will count both numbers
and their complements. Figure 13-21 represents an accumula-
tor of this type. When it is desired to transfer a number from
the register to the accumulator, all the G\ gates are opened, and
the transfer is made, leaving the original number stored in the
register. If it is desired to transfer the complement of the num-
ber in the register to the accumulator, all the Gi gates are opened.
At least two methods are available for detecting and handling
carries in a parallel adder with ring-type elements. In one
294
PHYSICAL COMPONENTS AND METHODS
method the carry is stored in a flip-flop which has a gate asso-
ciated with it. The output of each gate is connected to the
input of the binary counter to the left. The carry is begun by
pulsing all carry gates. Since each carry may initiate another
carry, the process must be repeated until the carrying process
is finished. If the adder contains n counters, n pulse times
normally have to be allowed in order to assure that all carries
are effected. As explained in Sec. 13-3, the average number of
ACCUMULATOR F F
ADD
PULSE
SUBTRACT,
PULSE
REGISTER
F
F
T"
0
pti
.rf .
H
c
> 1
Fig. 13-21. Binary accumulator.
carries is well under n, so, on the average, less time is required
for an automatically sequenced computer which can continue
as soon as all carries are complete. A circuit connected to each
flip-flop stage in such a way that it detects the presence of zeros
in all the flip-flop stages can be used to sense the completion of
the carry.
A second method of adding allows all carries to be made simul-
taneously, thereby enhancing the characteristics of nonautomatic
sequence computers. An adder of this type is described in the
next section.
13-6. Larger Arithmetic Units
It is usually desirable to code operations, other than addition
and subtraction, so that they can be handled automatically.
These other operations, however, are compounded out of the
basic addition operation. Several complete adders and multi-
pliers are described in this section in order to indicate the types
of arithmetic units which might be devised.
13-6-1. Serial Arithmetic Units. A serial adder using any
one of the coincidence adder units described in Sec. 13-4 is illus-
ARITHMETIC ELEMENTS
295
trated in Fig. 13-22. If a three-input adder is used, provision
must be made to return carry pulses to one of the input leads
at the next pulse time. The serial adder employs two storage
units into which electrical pulses are entered serially, and from
which they emerge at some later convenient time. Mediums
suitable for this purpose, such as transmission lines or rotating
drums, are discussed in Sec. 14-2. The box R contains the
amplifiers and clock-pulse gates required to regenerate these
pulses after each trip through the storage medium. The com-
bination of storage unit and regenerating unit forms a device for
c
ADDEND AND SUM
STORAGE A
Gl
OUT IN "G3W^
STORAGE B
AUGEND
IN ^G3
At)D SIGNAL
D
-Tr>
AJ
ADDER -^
G2
-®- INVERTER
IN
Fig. 13-22. Serial adder.
retaining digital data; such a device is defined as a register.
The shaded circle designated I, upon receiving a signal to begin
the addition operation, provides switching potentials to gates
Gi, G2, and (73. Obviously, the delay time in the storage section
of a serial register must be equal to or greater than the time
required for all the serial digits in a binary number.
If addend and augend are first entered into their storage units
A and B, respectively, and an add signal is applied as the lowest
order digits are passing into R, consecutive higher order digits
from A and B will be summed in the adder. G3 is opened by the
add signal, so addend digits do not continue to circulate through
A but are replaced by sum digits, which enter as addend digits
leave. Thus addition with a serial adder requires one cycle
time and leaves one operand circulating in one register and the
sum in the other.
With three registers having circulating times twice that
required for introducing the operands, a serial binary multiplier
296
PHYSICAL COMPONENTS AND METHODS
may be developed from the serial adder described. A device
of this sort is illustrated in the block diagram of Fig. 13-23.
This multiplier performs additions of the multiplicand, the
additions being controlled by successive digits of the multiplier.
The partial sums are circulated in storage A. The multiplier
and the multiplicand are entered into their respective C and B
registers. As the two lowest order digits emerge from the storage
registers, a clock pulse is applied to reset flip-flop FF and to
NO OF DIGITS
IN OPERANDS
P = PULSE TIME
STORAGE C
n
OUT IN
C.P EVERY
PULSE TIME
Fig. 13-23. Serial multiplier.
open gate G5. If the multiplier digit is a 1, it sets FF, which in
turn opens 6r4, which adds all the digits of the multiplicand into
register A . After 2n + 1 pulse times, the second-order digit of the
multiplier is at G5, and the first-order digit of the partial product
in register A is entering the adder. If the second-order digit of
the multiplier is a 1, the multiplicand is again added to the con-
tents of the product register. This time, however, the mul-
tiplicand is delayed by one pulse time so that a shift of the
number by one digit order is effected before addition with the
preceding partial product. In this manner the process is
repeated, the multiplicand shifting one place for each circulation
and being added to the partial product each time a 1 appears in
consecutive higher order positions of the multiplier.
ARITHMETIC ELEMENTS 297
Although the serial multiplier requires a minimum of equip-
ment, the total multiplication time is the product of the circula-
tion time times the number of digits in the operands. As an
example, it would take 1,800 pulse times to multiply two 30-digit
binary numbers in the manner described. Some saving in time
might be obtained by rounding off the digits in the product, but
one circulation would still be required for each digit in the
multiplier.
13-6-2. Parallel Arithmetic Units. The basis of the parallel
arithmetic unit is either the elementary ring- type adder of Sec.
13-5 or the coincidence adder of Sec. 13-4. The former type has
been studied by the Raytheon Company,10 and the results of this
investigation are used as the basis for a description of a parallel
adder with simultaneous carry. A modification of the Raytheon
adder which would allow multiplication is outlined briefly in
order to indicate the degree of complexity of a parallel multiplier.
Parallel Adder with Simultaneous Carry. An adder in which
all carries are accomplished simultaneously has been proposed
by the Raytheon Company10 and is illustrated in Fig. 13-24.
The gates labeled G\ are employed to introduce the addend digits
into the accumulator. The presence of a carry is indicated by a
1 in the addend register and a 0 in the accumulator and is detected
by C?4, which in turn controls G2. This latter gate receives a
carry pulse which, if the gate is open, is distributed to the delay
line following each stage of the register. The carry pulses which
pass G2 are also inverted in I and sent to G3, which senses the
coincidence of a 0 in the accumulator stage and an open (x4 gate.
This indicates a double carry and means that a carry pulse should
be passed on to the next stage. If 6r3 is open, that is exactly
what happens, so all carries are made with one carry pulse.
Actually, n rise times are required to make n carries, and in the
Raytheon circuit, about five pulse times have to be allowed on
this account. This is a great deal faster than the serial adder,
which requires about n2 pulse times for addition of two n-digit
numbers.
Shifting in a Parallel Ring-type Register. In order to multiply
numbers in the conventional manner of summing the partial
products, it is necessary to shift the accumulated partial product
with respect to the new partial product before the two are
summed. A shifting register consisting of one flip-flop for each
298
PHYSICAL COMPONENTS AND METHODS
ARITHMETIC ELEMENTS
299
digit stored is illustrated in Fig. 13-25. One plate of each flip-
flop is connected through a delay circuit to the grid of the
opposite tube in the next flip-flop. A bus delivers reset pulses
to the remaining grids simultaneously. When a reset pulse is
applied to these grids, the flip-flops which are storing a 1 are
returned to the 0 condition, and a pulse is introduced into each
delay line following a flip-flop in which a 1 was stored. At the
end of the delay period, the pulses emerge from the delay lines
to set the following flip-flops. Thus, binary numbers stored in
END AROUND CARRY BUS
DELAY CIRCUITS
i
REGISTER 1 |FF|
r
P
1
h
P
t
P
1
h
t
p p ip
r 3?
t
IN
RESET
IN
IN
IN
PULSE
j D
1 — -DELAY CIRCUIT
Fig. 13-25. Shifting register.
this register are shifted one space to the right each time a reset
pulse is applied.
Another way of shifting is to provide two registers and pro-
vision for shifting numbers from one to the other. By providing
a set of gates for each type of transfer, the digits may be shifting
to the right, to the left, or not at all as the number is passed from
one register to the other.
In some operations it is desirable to retain digits which would
be shifted out at one end of the register during the shifting
process by entering them into the other end of the register as they
leave. As an example, in the parallel shift register of Fig. 13-25,
the digits shifted out of FFn could be returned to FFi through a
delay circuit and the dotted line shown.
Parallel Multiplier. A multiplier might be devised using the
parallel adder and the shift register which are described above.
A three-digit multiplier is illustrated in Fig. 13-26. The mul-
tiplicand is placed in the upper flip-flop register, and the mul-
tiplier is placed in a serial register. The product accumulator
is twice the length of the operand registers and is also a shift
register.
300
PHYSICAL COMPONENTS AND METHODS
ARITHMETIC ELEMENTS 301
When FF4 is set by 1 pulses from the multiplier register, it
opens gates (75 and GQ for one addition time (about five pulse
times). During this time an add and a carry pulse are applied
to adder gates G\ and G2 so that the multiplicand is added into
the number in the accumulator. The timing of the various steps
is such that the lowest order digit of the multiplier is introduced
into FF4 first. If it is a 1, the multiplicand is added into the
accumulator. After the addition time, the partial sum in the
accumulator is shifted to the right, FF4 is reset, and the second
multiplier digit is applied to FF±. The process is continued in
this manner until all the digits of the multiplier have been used.
At that time, the number in the accumulator is the product of
the two numbers multiplied. In the example shown, the last
digit of the product is also cut off.
It may be seen that the time required to multiply two w-digit
numbers is n addition times.
REFERENCES
1. Alt, F. L., A Bell Telephone Laboratories Computing Machine — I,
Mathematical Tables and Other Aids to Computation, Vol. 3, No. 21, pp.
1-13 (January, 1948).
2. Burks, A. W., Electronic Computing Circuits of the ENIAC, Proceedings
of the Institute of Radio Engineers, Vol. 35, pp. 756-767 (August, 1947).
3. Burks, A. W., H. H. Goldstine, and J. von Neumann, Preliminary Dis-
cussion of the Logical Design of an Electronic Computing Instrument.
Report prepared under Contract W-33-034-ORD-7481 between the
Research and Development Service, Ordnance Department, U.S. Army,
and the Institute for Advanced Study, Princeton, N.J. (June 28, 1946).
4. Hilbert, D., and W. Ackerman, Grundzuge der Theoretische Logik (J.
Springer, Berlin, 1928).
5. Mauchly, J. W., Preparation of Problems for ED VAC Type Machine,
Annals of the Computation Laboratory of Harvard University, Vol. XVI,
pp. 203-207 (1948).
6. Rajchman, J. A., R.C.A. Computron, Final Report, LC PB 40611 (Office
of Technical Services, Department of Commerce, March, 1943). 129 pp.
7. Tar ski, Andrew, Introduction to Logic (Oxford University Press, New
York, 1939).
8. University of Pennsylvania, Staff of Moore School of Electrical Engi-
neering, Report on the ENIAC, Technical Report I (University of Penn-
sylvania, Philadelphia, June 1, 1946). 2 vols.
9. University of Pennsylvania, Staff of Moore School of Electrical Engi-
neering, Progress Report on the EDVAC (University of Pennsylvania
Philadelphia, June 30, 1946). 2 vols.
10. West, C. F., and J. E. DeTurk, Digital Computer for Scientific Applica-
tions, Proceedings of the Institute of Radio Engineers, Vol. 36, No. 12, pp.
1452-1460 (December, 1948).
CHAPTER 14
TRANSFER MEDIUMS
14-1. Introduction
Computing consists of performing arithmetic operations on
numbers. In the strictest sense, numbers are abstractions;
arithmetic operations are performed on representations of these
abstractions or numbers. The numbers themselves are defined
by the rules for performing the arithmetic operations. For
example, the mark 8 in the decimal system and the mark 100 in
the binary system are representations of the same number. Any
computing machine operates, in accordance with applicable rules,
upon representations such as these.
In the following discussion number is used in a broader sense.
It is used to mean an ordered set of digits considered as a unit,
regardless of the meaning of the digits. For example, some of a
particular set of digits (the first 20, for example) may be the
binary representation of a particular number. Some others in the
set may represent an address code and still others in the same
set an instruction to the machine. We shall call the entire set
a number. Thus, we are using number as a synonym for what
others in the computing-machine field have termed a word.
In this chapter we will discuss the means for transferring
numbers in space and time during the course of a computation.
Any connected series of arithmetic operations implies the neces-
sity for such transfers, and the concept of transfer is basic in any
discussion of computing machines. To facilitate discussion and
to provide a basis for grouping transfer systems for comparison
purposes, the definitions set forth below have been adopted.
Transfer in time alone is necessary when a number is to be
reused later at the same location in space. Transfer in both
time and space is necessary if the number is to be reused later
at a different location in space. As noted below, some types of
time transfer are properly spoken of as storage. Therefore, it
may be seen that the terms transfer and storage, as used with
302
TRANSFER MEDIUMS 303
respect to computing machines, are related. Transfer, the
broader of the two, includes storage, because transfer includes
any change in location with respect to either time or space, or
both. The term storage is used with respect to a transfer in time
only. Moreover, not all transfers in time are properly referred to
as storage operations. A number is in storage when its representa-
tion is introduced into a medium with the intention that it shall
remain there until specifically called for and withdrawn. The
number is merely being delayed (as contrasted with being stored)
when it is introduced to some medium from which it is auto-
matically delivered after a fixed interval of time. This dis-
tinction is illustrated in the following examples:
Suppose it is desired to transform the serial representation of a
15-digit number to a parallel representation. This transforma-
tion may be visualized by imagining 15 digits proceeding in
single file down one channel and then turning simultaneously
at right angles, to proceed down 15 separate parallel channels.
In practice, however, the transformation from serial to parallel
expression requires the delaying of each digit by an appropriate
interval. The first digit is delayed for the longest time, the
second for the next longest, etc. When the delays are properly
adjusted, the last digit reaches the entrance to its particular
channel just as each of the other 14 digits is ready to be shunted
into its particular channel.
Each of the first 14 digits in this case has been transferred in
time, but the delaying operation is not thought of as storage.
Storage is the term used, rather, when data are made to exist in
some interpretable form until called for. An elementary storage
is accomplished by means of a pencil and a piece of paper. A
legible mark on a piece of paper remains in interpretable form for
use whenever needed, so long as the paper is not destroyed and
the mark is not erased. The problem in calculating with the
aid of pencil and paper is not to delay information but simply
to store it for later reuse. In a computing-machine operation
it may be necessary to store information in interpretable form for
later reference (perhaps for many later references), and it may be
necessary also to delay particular data for the purpose of carrying
out a particular computation. The example of the serial-to-
parallel conversion illustrates the latter.
Transfer systems used for storage or delay purposes are referred
304 PHYSICAL COMPONENTS AND METHODS
to as either static or dynamic. In a dynamic system, the data
are in motion, usually cyclically, relative to the medium in which
they are represented. An example of the dynamic system is the
sonic delay line ; in this system, trains of sound waves, represent-
ing digits, travel through a substance in which the velocity of
sound is slow as compared with the velocity of electrons in a
conductor. The waves are introduced at one end of the delay
line and received at the other. The same signal may recirculate
indefinitely through the delay line (being retransmitted at one
end each time it is detected at the other), but it is always in
motion relative to the reading and writing elements, i.e., the
receiving and transmitting transducers.
In a static system the stored data remain fixed with respect to
the storage medium until transferred by the operation of some
switching device. A system composed of electromagnetic relays
is an example of a static system. A rotating magnetic drum also
is a static storage system, according to this definition, because
data recorded on the drum are static with respect to the surface
of the drum. However, the data on the drum are in motion
relative to the magnetic heads which read and write upon the
surface; hence, in one very important respect, the static mag-
netic-drum system and the dynamic delay-line system are
equivalent. If we define as a cyclic storage system any system
in which each stored datum continually moves in cycles with
respect to the reading and writing stations, then both the rotating
magnetic drum and the delay line are cyclic storage systems.
Using the converse as the definition of a noncyclic system, a bank
of relays is an example of this type.
If we define the access time of a system as the time required
to withdraw a number from storage, the essential difference
between cyclic and noncyclic systems is the following: In a cyclic
system, the average access time is closely related to the time inter-
val between successive appearances of the same storage cell at a
location where its contents can be withdrawn. In a noncyclic
system, the speed of operation of the switching device is impor-
tant. The relationships between these factors and other
design considerations are discussed below. Another difference
between cyclic and noncyclic systems which is worth noting
as an aid in narrowing the definition is the following: In a non-
cyclic system, the transfer of data in space from the storage
TRANSFER MEDIUMS 305
medium to some other part of the computer involves noncyclic
motion in space, i.e., motion of relay contacts, of an electron
beam, or of some other physical mechanism. In a cyclic system,
this transfer of data to or from storage involves noncyclic motion
in time while a cyclic motion in space is taking place. This
motion in time is the delay which takes place between the
instant an order related to a particular storage cell is activated
and the instant that cell, in the course of its cyclic motion,
arrives at the proper reading or writing station.
Another pair of mutually exclusive terms, one of which may be
applied to any storage system, is the pair erasable and nonerasable.
These terms are essentially self-explanatory. For example, data
stored as combinations of punched holes in a tape or a card are in
nonerasable form; data represented by the condition of mag-
netization of a magnetic surface are in erasable form.
There is one more pair of terms which will be found useful in
discussing storage systems: volatile and nonvolatile (or permanent).
These terms refer to the degree of physical stability of a repre-
sentation of stored information. In a volatile storage medium,
like a delay line, retransmission of each signal once during each
storage cycle period is required. In case of power failure, the
stored data are lost. If the data are recorded on magnetic
material, they are in permanent storage, because the representa-
tion of each digit, a particular magnetic condition of a per-
manent magnet material, will not deteriorate even if the com-
puting machine is turned off; an external force is required to
eradicate the data.
14-1-1. Cyclic Storage Systems. Sonic delay lines and mag-
netic drums are probably the best known of the cyclic storage
systems. Other types have been used successfully, e.g., elec-
tromagnetic delay lines. These are discussed in detail in other
sections of this chapter. The use of radar transmissions to
distant objects and the deflection or intensity modulation of
electron or ion beams also have been suggested. In theory, at
least, any device for sending a signal over a path relatively
long as compared with the signal used to represent a digit is
applicable in a cyclic, dynamic, storage system.
The basic physical characteristics of any cyclic storage system,
with respect to each separate single-digit channel, or path, in the
system, are:
306 PHYSICAL COMPONENTS AND METHODS
1. The storage cycle, which is
a. The physical length of the dynamic storage path,
divided by
b. The speed of a digit in storage, relative to the receiving
and transmitting (or " reading" and "writing") stations.
2. The number of digits which can be carried on the storage
path at one time, which is
a. The physical length of the dynamic storage path, divided
by
b. The physical length of the signal representing a single
digit in the storage medium.
3. The radix, which is the number of elementary states dis-
tinguishable in the medium.
Primarily upon these characteristics depends the quantity of
information which can be stored and the speed with which the
computing mechanism can have access to each stored datum.
For purposes of illustration, let us consider a magnetic-drum
storage system. A binary digit is represented on the surface of
the drum by the magnetic state of a particular area. If this
area is magnetized in one direction, the digit it represents is 1.
If the area is magnetized in the other direction, the digit is 0.
In practice, 1,600 inches per second has been found to be a
reasonable drum surface velocity (corresponding to a storage
concentration of 80 digits per inch). A small drum, capable of
storing 1,024 digits in each single-digit path, or track, has a
storage cycle of about 8 milliseconds. (The physical length of
the storage path is actually a little more than 1,024 times 0.0125
inch — which is the physical dimension of the digit, measured in
the direction of motion — because a small amount of dead space
must be left on the drum.) In practice, a drum 4.3 inches in
diameter will carry 1,024 binary digits per track.
Let us apply the same considerations to a mercury storage
system. The velocity of sound in mercury is about 5.7 X 104
inches per second (1.45 X 105 centimeters per second48). For a
storage path 14 inches long, the storage cycle time will be
14
^-= X 10-4 = 250 microseconds
5.7
Suppose the digits are introduced to storage at the rate of four
digits per microsecond, which is the rate at which the BINAC,
TRANSFER MEDIUMS 307
built by the Eckert-Mauchly Computer Corporation, operates.
The physical length of the signal representing each digit in
storage is therefore
5.7 X 104 X 0.25 X lO"6 S 0.014 inch
The number of digits carried on the storage path at one time is
14
0.014
1,000
Mercury delay lines are suitable for the storage of a few
thousand digits. The problem of controlling the temperature
(in order to maintain constant velocity) is not difficult to solve
in a delay line of reasonable length, e.g., of the order of a thousand
digits.
It is not practical to store a very large number of digits in a
mercury system because of the number of vacuum tubes required.
For purposes of estimating engineering complexity, it may be said
that approximately 11 tubes are required to generate signals and
control and read each delay line in the EDVAC. At the rate of
11 tubes per thousand-digit line, 11,000 tubes would be required
for a million digits. In terms of cost and complexity this would
be a high price. On the other hand, such a large storage system,
with the access speed of a thousand-digit delay line, is not likely
to be required. (The engineering aspects of the mercury storage
design problem are discussed in more detail in Sec. 14-2-6.)
In a cyclic storage system, the average time required to locate
and read from or write into any given storage cell may be related
directly to the storage cycle period. This average access time
can be reduced by adding more reading and writing stations.
For example, several magnetic recording heads can be placed at
equal intervals around a magnetic drum to reduce the average
access time without reducing the storage capacity or speeding
up the drum. However, the price paid for this reduction in
average access time is high, in terms of increased equipment
complexity. Applying this same technique to a mercury delay
line is not practical because the additional stations introduce
serious attenuation.
Where greater storage is required (e.g., storage for 1 million
digits) the mercury delay line is not practical, without serious
modification to increase its capacity by eliminating the effect
308 PHYSICAL COMPONENTS AND METHODS
of temperature variation on sound velocity, because of the
number of vacuum tubes required. At the rate of 11 tubes per
1,000 digits, 11,000 tubes are required for 1 million digits. On
the other hand, mercury delay lines are well suited for storing a
few thousand binary digits.
The following seem to offer some promise of immediate and
future applicability in cyclic storage systems in computing
machines:
1. Sonic delay lines, liquid medium.
2. Sonic delay lines, solid medium.
3. Magnetic recording.
4. Electromagnetic delay lines.
5. Punched tape, read electrically.
6. Punched tape, read photoelectrically. (Note possibility
of punching holes with electric arc.)
7. Photographic tape, read photoelectrically.
8. Phosphor drums.
9. Electrostatic storage tubes, read cyclically.
14-1-2. Noncyclic Storage Systems. The important con-
siderations pertaining to noncyclic storage systems are:
1. Radix — the number of distinguishable states which the
medium may assume.
2. The complication of the switching equipment — electro-
magnetic, electron beam, or other.
3. The complication of equipment required to set the storage
medium in its various radix states and of the equipment
required to detect these states (write and read).
The types of noncyclic static storage which now seem to be of
interest are:
1. Relay — electromagnetic or electron tube.
2. Electrostatic storage — cathode-ray tube or Selectron.
As indicated above, in meeting operational requirements with
noncyclic storage systems the main difficulty lies in providing
switching facilities. If the choice of items of intelligence stored
or to be stored is by means other than physical motion of the
storage medium, and if items corresponding to even a few thou-
TRANSFER MEDIUMS 309
sand binary digits are to be stored, it is clear that the problem of
switching between the storage cells may become awkward.
A convenient, well-known, rapid means of switching utilizes
the deflection of beams of electrons or the blocking of beams of
electrons by electrostatic fields. This means gives promise of
becoming useful in connection with computers; this is particu-
larly true since other ingenious techniques have been developed
to utilize this switching when the number of leads is small
enough to compare favorably with the number required for
dynamic storage. This system is described more fully in Sees.
14-2-8 and 14-2-9 on electrostatic storage schemes.
In cyclic storage, as opposed to noncyclic storage, the switching
function may take place mainly on a time basis. This immedi-
ately raises a host of problems in connection with synchronization,
and it implies some sort of periodicity with consequent limitations
on the speed with which the system can function. The same
objections apply to systems in which switching is on a space
displacement basis. Maximum velocities attainable imply a
minimum consulting period. Thus, unless the information is to
occur and to be used in an orderly and predictable manner, any
cyclic storage system is wasteful of time. Noncyclic systems are
intrinsically much better suited for consulting where the addresses
of the information stored are likely to be somewhat random.
It would be possible to use as noncyclic storage most of the
cyclic storage schemes which do not involve transmission of
intelligence as wave motion or some similar motion through a
static medium. Punched tape, for instance, could be used in a
static noncyclic storage application, but this would involve a
tremendous increase in the number of reading stations as well
as complications in switching.
Early noncyclic, static storage systems frequently used an
array of switches. Both mechanical relay systems, with some
scheme for stabilizing and holding each relay in position, and
vacuum-tube relays arranged in flip-flop circuits were used.
In either case, storage of binary digits is simple and straightfor-
ward. There are no difficulties other than switching difficulties.
In exactly the same way, punched tape, photographic tape,
and other similar systems could be used instead of relays. Again
the only difficulty would be in switching. Magnetic storage
also could be used in a noncyclic application (though radical
310 PHYSICAL COMPONENTS AND METHODS
modifications in the system of reading would be required) because
the state of magnetism in an object is easily read by means of a
coil moving relative to the magnetic medium.
The use of magnetic material seems almost automatically to
imply the idea of motion, primarily in cyclic systems. However,
three different schemes are available for reading the state of
magnetism of a body without moving the body itself: (1) a
coil on a magnetic core, or a magnetic head, may be moved past
the magnetized object and thus furnish the same relative motion
which would be used to detect the magnetic condition of the
body if the body itself were moved; (2) the nonlinearity of the
magnetization curve may be used, so that an increase in mag-
netomotive force in a particular direction changes the flux sub-
stantially only if the substance is not saturated in that direction ;
(3) a cathode-ray beam may be deflected by the magnetic field of
the substance. Of these schemes only the second seems to show
any promise at all, and no well-developed efforts to utilize this
scheme are known to have been carried out. However, much
work has been done recently on satur able-core reactors, and
use of some types of these in magnetic storage is feasible.
14-2. Transfer in Time
Examples of the need for transfer of numbers in time are
given in Sees. 5-3 and 14-1. Several time storage mediums are
discussed in the following material, and for convenience of com-
parison they are considered in application to:
1. The high-speed storage section of a computer.
2. Permanent storage.
3. Supplementary storage.
In a given computer there may be some overlapping of these
types of storage, but each has its own distinctive features.
The high-speed storage section of a computer includes the
registers of the arithmetic unit, and its requirements are inti-
mately tied in with the type of arithmetic chosen. The most
important criteria for high-speed storage mediums are (1) their
access time; (2) the flexibility with which they can be switched
from one unit to another; and (3) their simplicity and reliability.
Permanent storage is desirable if the computer is to operate
with the aid of tables, repetitive program routines, repetitious
TRANSFER MEDIUMS 311
similar input data, and output data from one problem as input
data for another problem. The choice of permanent storage
medium determines certain characteristics of the input-output
equipment and usually is chosen with that point in view. Input-
output systems are hereinafter discussed as an important type of
permanent storage system. The principal criteria for judging
a permanent storage medium are (1) the compactness of the
medium, or the number of digits stored per unit cost and per
unit volume; (2) the life expectancy of the secondary medium
on the shelf and in operation; (3) the rates at which data may be
written in and read from the medium ; (4) the ease of handling the
medium mechanically by the machine, and by human hand when
being removed from or loaded into the machine; (5) the ease
with which the data on the medium can be changed for additions,
deletions, or corrections; (6) the facility with which the data
can be reproduced as a new permanent storage medium; (7) the
suitability for convenient inspection and checking; and (8) the
reliability of the medium and its associated equipment.
There is usually a need for supplementary storage having
characteristics which are a combination of those of high-speed
storage and of permanent storage. This is the result of the
expense in complexity of extending high-speed storage to cover
all the computing requirements and the relatively poor accessi-
bility of numbers in permanent storage when the numbers
required must be read in a random order. Criteria for good
supplementary storage mediums are (1) the flexibility and speed
of switching for reading from and writing on the medium;
(2) the capacity of the medium in number of digits stored as a
function of volume, cost, and complexity; (3) erasability and
reusability of the medium; (4) reliability of the medium and its
associated equipment. Since access time and capacity of a
supplementary storage system are closely related, (1) and (2) are
necessarily considered together. It is imperative that supple-
mentary storage systems be erasable and reusable.
14-2-1. Relay Storage. The only forms of high-speed relay
storage employed in present-day large-scale digital computers are
the electromechanical1,2 or the electron-tube relay. In the
Harvard Mark II and the Bell Telephone Laboratories machines,
electromechanical relays are employed, whereas in the ENIAC,
electron-tube relays, or flip-flop circuits, are employed. The
312 PHYSICAL COMPONENTS AND METHODS
latter type is also employed in the EDVAC and other electronic
computers. Although they are relatively large and expensive,
relays are also used in the first three computers as supplementary
storage mediums. The present tendency is not to use relays as
supplementary storage for large amounts of data. They are
well suited, however, as the high-speed storage medium in
conjunction with arithmetic units.
Admissible Radix. The operation of the electromechanical
relay as a switch is described in Chap. 4. In present-day com-
puters, two stable positions of this type of relay are utilized so
that these relays store digits modulo 2. It is possible, however,
to establish three stable states in a relay equipped with centering
springs and a pair of coils which deflect the armature in opposite
directions. As a variation of this configuration, a permanent
magnet might be made for the armature so that its deflection is
dependent upon the direction of current flow through a single
coil. Thus it is possible to construct an electromechanical relay
which could be used to store radix 3 numbers. The conventional
electron-tube flip-flop circuit has but two stable states.
Access Time. The pickup, or setting, time for commercial
electromechanical relays used in computers varies from 1 to
about 10 milliseconds. The relays used in the Mark II equip-
ment operate in from 6 to 10 milliseconds. The wire-brush
type of relay used by the IBM Corporation contains up to
12 contacts and operates in 2 milliseconds. Another relay dis-
cussed in Chap. 3 has been made to operate in 1 millisecond.
The total access time for digits in the Mark II is 16% milli-
seconds. This is longer than the pickup time of the relays and
includes factors of safety for the synchronization between units
and current-switching equipment described later in this section.
It seems likely that 10 milliseconds is about the minimum access
time which can be expected when electromechanical relays are
used.
The time duration of a digit in a flip-flop circuit may be very
short but is limited by the figure of merit of the tubes. Flip-flop
circuits cycle satisfactorily in 0.1 microsecond and may be
expected to have a reliable access time of 0.2 microsecond.
Mode of Operation. A desirable feature associated with the
electromechanical relay is the simplicity of the auxiliary equip-
ment required to generate digital signals. A relay may be set
TRANSFER MEDIUMS 313
by a d-c pulse, the wave shape of which is not critical. Reading
information out of a relay requires merely the detection of the
position of the contacts and may be done instantaneously. The
armature may be held either by the current flowing through the
coil or by a mechanical latch which is released by a second coil.
In the latter case, the storage unit is said to be nonvolatile because
it can sustain loss of power without losing all the information
stored.
If it is desirable to have the contacts of the relay carry large
amounts of current, a synchronous system may be employed in
which the relay contacts are opened and closed before current is
applied to them. This is done in the Harvard Mark II machine,
in which pulses of direct current are generated by large cam-
operated switches and distributed to the relays as signal pulses.
Thus, the only current-making and -breaking contacts are at
one point where they are available for inspection and service.
This form of operation, however, has the disadvantage that some
time is wasted between the relay operation time and signal-
current time.
The electromechanical relay is versatile in its application as
an arithmetic component because it has a pair of low-impedance
input or actuating leads which may be kept isolated completely
from those of the output.
Reliability. Reliability in computing devices is of the utmost
importance, and therefore a serious problem arises with the use
of electromechanical relays. Interference with one or more
computing operations may result if a particle of dust happens to
rest on the contact faces, since electrical contact is made between
two points of microscopic size. Since there is no direct way to
detect such a failure either before or after it occurs, the use of
checking circuits is desirable. Fortunately, it is relatively easy
to add contacts to an electromechanical relay for checking-
purposes. This was done on the Bell Telephone Laboratories
machines, and their ability to resume operation quickly after a
failure is one of their outstanding features.
A comparison between the electromagnetic relay and the elec-
tron tube reveals that the former has a longer life expectancy in
operating hours but will operate fewer times than the latter.
Furthermore, the electromechanical relay is subject to failure
from vibration and dust on the contact faces and is apt to require
314 PHYSICAL COMPONENTS AND METHODS
more delicate care than a vacuum tube. The relay usually
operates on less power than the filaments of a vacuum tube,
but the latter can operate on alternating current taken directly
from the power mains through step-down transformers. Most
fast-acting relays operate on direct current; hence when the
rectification conversion loss is taken into account, their power
requirements are comparable to those of electron tubes. The
two are also nearly the same in cost and size. The greatest
difference in characteristics is in the maximum speed of opera-
tion ; the electron-tube relay is at least 104 times faster than the
electromechanical relay. Therefore, in situations where com-
puting may be done serially, a single tube can perform the same
operations in the same time as a large number of relays operating
simultaneously in parallel.
Size and Cost. The cost of relays of the type used in the
high-speed storage section of a computer varies between $1 and
$5 per digit stored, depending upon the amount of auxiliary
equipment which is used. The required volume per digit stored
is about 3 to 6 cubic inches.
In small computing devices, relays are particularly suitable
because of their availability and versatility. On the other hand,
they have also been used quite lavishly in large computing
machines such as the Harvard Mark II computer, which employs
a total of about 13,000 relays. These relays are made by Auto-
call, and most of them are of rugged construction. They have
six-pole, double-throw contact arrangements with large silvered
contacts, consume about 6 watts at 100 volts direct current, and
operate in 6 to 10 milliseconds. About 5,000 of these relays
of the latch type, Model HHA-JD, are used in the internal stor-
age. There are about 9,000 relays in the largest Bell Telephone
Laboratories machines. Most commercially available electro-
magnetic relays are described in a book compiled at MIT,1 and
flip-flop circuits are amply covered in the references for Chap. 3.
14-2-2. Punched-tape Storage. A common storage medium
for digital information is found in tape which is opaque to light
or is physically strong enough to operate mechanical feelers
and has a low electrical conductance. Information is stored by
means of an array of holes which are placed in the tape and
located in reference to sprocket perforations.3-7 Tape is used for
storage in the Bell Telephone Laboratories and the Harvard
TRANSFER MEDIUMS 315
machines as well as in many special-purpose devices. Because
it is nonerasable, it is most suitable as a medium for permanent
storage. It may be used in rolls or, where iteration is desired,
in endless loops.
Admissible Radix and Arrangement. An area on a tape of the
sort discussed above may have two possible elementary states,
punched and not punched. The admissible radix is therefore 2.
Several adjacent columns, or data channels, may be punched
along a length of tape.
Access Time. The limiting factor which determines the
minimum spacing between holes may be the tendency of the tape
to shrink or stretch, the precision with which the holes can be
punched in the tape, with respect to some reference such as a
row of sprocket perforations, or the minimum spacing at which
holes can be reliably sensed by the reading equipment. The
minimum time interval between digits is directly proportional
to the minimum space between holes and inversely proportional
to the maximum linear velocity at which the tape can safely be
moved with accurate guidance.
Two types of reading equipment are in present use: electrical
sensing and photoelectric sensing. Electrical sensing of holes in
punched tape is accomplished by passing the tape over an elec-
trically charged metallic platen, over which are placed metal
wipers in position to make contact with the platen through holes
in the tape, or by arranging fingers which slip through the holes
in the tape and operate switches. The top speed to be expected
with electrical sensing is about 100 digits per column per second.
The output is in the form of electrical pulses, which are con-
venient for computer use.
The top speed at which data can be recorded on standard tele-
type tape by the Western Union 10B Reperforator is 10 operations
per second. Since as many as five holes may be punched at
once, this corresponds to a speed of 10 X 5 or 50 digits per
second. The Model 12A transmitter will read 75 digits per
second.
A faster method of sensing holes in punched tape is by means
of photoelectric cells. The tape is driven past a mask which
contains optical apertures of proper size and spacing for one hole
in each row. These apertures are illuminated through the holes
in the punched tape by a constant source of light. Light which
316 PHYSICAL COMPONENTS AND METHODS
passes through the holes and the apertures is gathered in an
optical system which is arranged to focus the light on photocells.
An electrical pulse is generated in a photocell each time a punched
hole passes over an aperture in the mask. With this type of
system, the British have succeeded in sensing holes in punched
tape at a rate of 5,000 digits per second per column. A five-hole
tape was used, so this corresponds to a sensing rate of 25,000
binary digits per second.
Mode of Operation. It is sometimes convenient to use tape as
a cyclical storage medium by forming it into a continuous loop.
In the Harvard Mark II equipment these loops are used to store
tables of functions and other data which are to be used repeatedly.
Punched tape is also used as a supplementary storage medium
in the Bell Telephone Laboratories machine. By punching
data into the tape at one station and reading them again at
another, a short-time storage unit is made available. This fea-
ture proved to be much more useful than originally anticipated.
A practical limit to the number of digits which may be stored by
this method is the mechanical difficulty of handling a long loop
of tape. A cyclical series of digits can be created in this way,
however, with no complication in reading and recirculating
equipment, because punched tape is provided with sprocket
holes which automatically serve to maintain synchronism
between the tape and the read-write equipment. In order to
shorten the access time of the system, it is quite feasible to use
independent read and write heads at various locations around
the loop, thereby adding only the complication of additional
read-write circuits and switches. Presently available tape-
preparing equipment employs mechanical punches actuated by
electromagnets and operated from a keyboard similar to that
of a typewriter. The electromagnet circuits have been modified
to operate from the outputs of computers but are inherently
limited in speed by their physical inertia. The possibility of
perforating tape with an electric arc is of interest because of the
higher perforating speeds which might be attained.
If it is desired to correct or change data punched on tape,
it is necessary to cut the tape, add or remove sections, and splice
it together again. This process is tedious but is simplified by
the fact that the recorded data can be inspected visually and
directly. This factor results in a simplification of the checking
process when errors are found to exist in the storage medium.
TRANSFER MEDIUMS 317
Reliability. An important advantage of punched tape at the
present time is the fact that tape-preparing and -reading equip-
ment has been in commercial use for many years and has been
refined to a high state of reliability. The wearing character-
istics of this tape depend upon the method of reading, the amount
of acceleration required in driving it, and the type of drive
mechanism. Photoelectric sensing can be effected without use
of fingers or pins pressing against the tape, thereby eliminating
one source of wear. In any case, a paper tape has a fairly short
life owing to wear on the sprocket holes even when it is driven
at constant velocity. On the other hand, standard commercial
equipment is available with which to reperforate duplicates of
the master tape for spares so that they can be replaced as they
become worn.
Teletype tape is reliable to the extent that it can operate under
a reasonable range of temperatures and is unaffected by small
amounts of dust. Since sprocket or reference holes are punched
in the tape as the data are added, the synchronization problem
is minimized. The Bell Telephone Laboratories machines use a
six-hole tape and a code in which two of the six holes are used
for each digit. As a check against additional holes which might
appear in the tape as a result of wear, a circuit is provided which
stops the machine in case more or fewer than two holes are
detected simultaneously.
Size and Cost. There are so many materials from which
punch tape can be made and so many varieties are now available
that it is beyond the scope of this book to discuss each sepa-
rately. However, the common five-hole teletype transmitting
tape is described as a representative sample, and some data
concerning other tapes are listed in tabular form at the end of
Chap. 17. The capacity of teletype tape is about 3 X 107 binary
digits or punches per cubic foot, and the cost of the tape is
trivial: about one dollar per 3 X 10 6 binary digits.
Punched tape is commercially used in several different forms.
The Wheatstone tape used for Morse code representation is
about \"2 inch wide and accommodates two rows of dots and a
row of sprocket perforations. This tape costs about 20 cents per
roll and may be procured through the Link Paper Co. in New
York.
Teletype tapes are available in five-, six-, and seven-hole
widths and may be procured at about 25 cents per roll through
318 PHYSICAL COMPONENTS AND METHODS
manufacturers, the names of whom will be supplied by the Tele-
type Corporation upon request. The five-hole tape which is
common to office equipment may be procured at stationery stores
at about 75 cents per 1,000-foot roll. A tape of greater durability
than ordinary paper tape is identified as gray fiber tape and has
been procured through Western Union by special arrangement.
There are also opaque tapes, such as film leaders, available
from the Eastman Kodak Company and other film manufacturers,
which might be used for punched-tape application. Thirty-
five-millimeter film leader costs about 2 cents per foot when
purchased in quantity.
Commercial Tape-punching and -reading Equipment. The
Teletype Corporation makes printers, tape readers, and tape
punches of several styles. This equipment is highly refined and
has been in reliable use for many years. The following equip-
ment is incorporated into the Harvard Mark II computer:
1. Teletype Model 15, Page Printers.
2. Teletype Model 10B, Reperforators.
3. Teletype Model 12A, Transmitters (five-hole).
4. Teletype Model 11 A, Transmitters (six-hole).
5. Teletype Model 101, Motor-Driven Reperforators (both
five- and six-hole).
6. Teletype Model 3B, Distributor-Transmitter (five-hole).
7. Teletype Model 10A, Distributor-Transmitter (six-hole).
8. Distributors, stepping switches (or rotary switches), relays,
and associated gear.
The operating speeds of some of these pieces of equipment are
of interest. Ordinarily, the printers operate at between 390 and
460 operations per minute, although they will operate as fast as
600 operations per minute. The transmitters normally operate
at 900 operations per minute on a five-wire system. This equip-
ment is used by Western Electric and Western Union.
Equipment for perforating and reading the two-hole Wheat-
stone tape used in automatic telegraphy is available through the
McElroy, Kleinschmidt, and Creedy Companies. The McElroy
mechanical tape-reading equipment operates at speeds up to
500 words per minute. Two pairs of binary spaces are used to
represent a Morse code letter, so there are approximately 25 pairs
of binary spaces per word.
TRANSFER MEDIUMS 319
The IBM Corporation also uses tape-perforating and -reading
equipment which is available on a special rental basis. Much of
this equipment is adapted to transferring data from punched
cards to tape and back again.
Drive Mechanisms. In the Bell Telephone Laboratories
machines a variable-speed tape drive is used, and tables are
indexed by sections. Therefore, when searching for an entry in a
large table, the section may be designated, and the tape drive
drives the tape at high speed until the desired section is reached,
whereupon the speed is decreased to normal reading speed so that
the entry may be withdrawn. This feature complicates the drive
mechanism considerably, so that the cost of punched-tape
equipment depends to a considerable extent on the drive mecha-
nism employed.
14-2-3. Photographic Storage. Storage of digital data on
photographic strip film is similar to storage on punched tape in
many respects and may, therefore, be classified with it in the
group of nonerasable storage mediums.8-12 Data may be repre-
sented on photographic film by areas of different opacity which
are applied photographically to a film base and which are detected
photoelectrically. Work is being carried out on the utilization
of film as a nonerasable storage system by O'Neal and Tyler of
the Eastman Kodak Company. This has been described in the
literature.10-12 Most of the information to be presented on this
subject has come from these studies.
Recording of digital data may be effected by illuminating the
film through a mask which restricts the images of a bank of
discharge tubes or the screens of cathode-ray oscilloscope tubes.
The discharge or c.r.o. tubes act as light sources which may be
modulated by the signals to be recorded. In accordance with
the coded information supplied to the modulators of the light
sources, beams of light are varied in intensity to produce a hori-
zontal row of clear and opaque blocks. After one row has been
exposed, the film can be advanced and another row of data
composed and photographed. The film may be moved con-
tinuously if the flashing time of the light source is made short
compared to the time required for the film to travel the aperture
distance of the mask.
Admissible Radix. Although it is possible to record and
distinguish between several degrees of opacity on film, present
320 PHYSICAL COMPONENTS AND METHODS
efforts are being concentrated on a two-state representation of
data in which the light is either passed or cut off. This on-off
technique has been considered necessary for perfect dependa-
bility of operation.
Access Time. The digit area or block area must be con-
siderably larger than the limit set by the resolving abilities
of the film emulsion. A more important operational criterion is
the requirement for optical reliability when the film is slightly
dusty or somewhat scratched. Coded areas 0.010 by 0.020 inch
are of the magnitude considered feasible. It is probable that
dots of this size may be recorded at a rate of 104 elements per
second per channel. If 50 channels are placed side by side on a
35-millimeter film, this rate would result in a total recording
speed of 5 X 105 digits per second.
Reading is accomplished in a manner similar to that described
for the photoelectric reading of punched tape. A bank of photo-
cells is located on one side of a slit which is illuminated from the
opposite side through the film. An optical system is arranged to
project light from each block section of the slit to a corresponding
photocell. Thus, opaque areas of the film interrupt the light to
corresponding photocells, and transparent areas allow light to
pass through. Electric currents generated in the photocells
from varying illumination are then amplified to form the output
signals. Photoelectric reading equipment is limited in speed
only by the rise time of the photocell and its amplifier and has an
inherent speed of at least 106 centimeters per second; furthermore
it is capable of reading independently of scanning velocity.
The maximum reading speed achievable is limited by the accuracy
with which the film can be guided past the reading stations and
is in the order of 104 elements per second per channel, not 106
centimeters per second.
Mode of Operation. The minimum requirements for film
recording include a light source which can be modulated at a
high repetition rate, an optical system capable of fine resolution,
and a film-advancing mechanism capable of guiding the film
accurately. Flash tubes of the type used in commercial stro-
botacs are being investigated for their applicability to this field
as light sources.8 Cathode-ray tubes with low-persistence
screens are also being studied.11 A single c.r.o. tube is used to
generate a row of marks across the film by stepping the electron
TRANSFER MEDIUMS 321
stream across the face of the tube, the beam being modulated so
that spots of light appear at the desired locations behind a mask
on the tube face.
A straightforward method of recording a binary number and its
inverse simultaneously, using a c.r.o. tube, has been demon-
strated. If a mask with two horizontal rows of apertures is
placed over the face of the c.r.o. tube, the vertical sweep may be
used to choose one of each pair of spots in a given column, and
the horizontal deflection may be used to scan the spot of light
over the columns in sequence. Thus, when the light spot is
PATH OF BEAM
NUMBER -^
□
\
\
\
COMPLEMENT
□ >-»"- □
NUMBER IOt
Fig. 14-1. Binary optical recorder.
recorded in the number, a dark spot is recorded in the cor-
responding column of the inverse row, and vice versa. Several
mask patterns are possible, and one is illustrated in Fig. 14-1.
Film, like punched tape, may be used in rolls and in endless
loops. Since it is essentially a permanent storage medium, it is
most useful for storage of tables and as an output medium.
Reliability. Dependable driving equipment for standard-
width strip film has been developed for the motion-picture
industry.
The life expectancy of the film depends upon the method by
which it is driven. Ordinary film has a reasonably long life
when driven with sprocket wheels. The life expectancy is
increased if the film is driven with rubber rollers instead. When
the sprocket holes are not used, however, a synchronizing channel
must be recorded on the film. As the film ages, copies may be
made by standard commercial copying procedures. Minor
changes may be made by the usual film-cutting and -splicing
techniques. Film may be inspected visually with the aid of
film-viewing apparatus.
322 PHYSICAL COMPONENTS AND METHODS
The reliability of this medium depends largely on the reliability
of the handling equipment and on the degree to which the film
can be kept clean and unscratched. A positive signal for each
digit and a check on reading equipment may be had by recording
the inverse of each number below the number. This allows a
positive signal for both O's and Ts and provides the basis for a
good checking system, for in the film reader each digit of the
number and its inverse can be compared. Failure of the record-
ing equipment to record a digit or failure of one reading section
is shown in the comparison process.
Size and Cost. Data may be stored on photographic film
to a density of 109 binary digits per cubic foot and at a cost of
10 6 binary digits per dollar. Thirty-five-millimeter positive
film is available at about $3.75 per 200-foot roll, and commercial
processing averages about $3 more per 200-foot roll, depending
upon the quantity. Films with faster emulsion speeds cost
two or three times as much as positive film.
A disadvantage of film as a storage medium is the complexity
of photographic processing. Automatic equipment is available
Avhich speeds up the conventional developing procedure and
which continuously turns out strip film at a rate of 6 feet per
minute. An even faster process may result from work now
being done by the Haloid Corporation in connection with
Xerography, an electrostatic and thermal dye-deposition process.
It is not known that any equipment of the type described is
now commercially available, and its future cost is difficult to
estimate. One of the largest factors in cost is the type of film
drive required. In some cases a servodrive is desired which will
search for and locate values in a table. Driving the film at a
variable velocity introduces the problems of film-roll acceleration,
servo stability, and the provision of a reference sensing equipment
with a link to the drive mechanism.
The use of film as the medium on which the final output of a
computation may be recorded is of interest and is described in
Chap. 15. Film can be exposed at a high speed and can record
charts and graphs as well as numbers and coded data. Enlarged
prints can be made on paper for visual inspection.
14-2-4. Magnetic Storage. Magnetic recording17 is a tech-
nique which presents attractive possibilities for both the internal
storage and the input-output functions of computing devices.
TRANSFER MEDIUMS 323
The alterable physical state requisite to any storage medium
is in this case the intensity of residual magnetization (magnetic
moment per unit volume) in a small volume of magnetic mate-
rial. The techniques used in the magnetic recording of speech
and music have been treated extensively in the literature.19-39
These sources should be consulted for background material and
fundamental principles. The material in this section will
attempt to indicate factors peculiar to the magnetic recording
of digital information.
The Magnetic Recording Process. The magnetic recording
process briefly is as follows: To record information, the medium,
or carrier, is caused to move past the gap of a recording head,
which is a suitably designed electromagnet energized by the
signal current. Each succeeding element of the carrier is brought
into a definite magnetized state, in which it tends to remain upon
leaving the recording field. The recorded pattern of remanent
magnetization along the carrier is related, in a manner deter-
mined by the system characteristics, to the time variation of the
signal current. This pattern is read by drawing the carrier
past the gap of a reproducing head, which may be similar to the
recording head. Some of the magnetic flux from the section of
the carrier in close proximity to the gap follows the low-reluctance
path through the core of the head. Time variation of this flux
generates an output voltage in the coil surrounding the core.
Reading can be accomplished by means of saturable-core
reactors, also, as indicated on page 310.
In the recording and reading of digital information, this output
voltage need not be a replica of the recording signal voltage.
It is sufficient that the system recognize in a reliable manner the
value of the digit stored at a given location on the medium.
For practical reasons, this type of recording is generally limited
to binary digits, where the system need recognize only two
possible values of digit.
The magnetizable medium, or carrier, may take a variety of
physical forms. It may be a homogeneous metallic wire or tape.
The magnetic material may be an alloy of appropriate magnetic
properties, plated on the surface of a ductile, nonmagnetic wire
or tape. One increasingly popular form of carrier is the coated
nonmetallic tape. A suspension of a powdered magnetic iron
oxide (magnetite) is applied in a thin layer to a paper-tape base.
324 PHYSICAL COMPONENTS AND METHODS
In another form the powder is dispersed uniformly through a
plastic tape. In internal storage applications it is generally
desirable to record on the surface of a rigid member such as a
drum or cylinder. In such cases the rigid member may be made
of a magnetic alloy, the magnetic material may be plated or
coated on the surface, or a magnetic tape may be bonded to the
surface.
The choice of physical form of the carrier depends mainly on
the requirements imposed by the intended application. At one
extreme, for example, there is the simple input application, in
which information is recorded at a relatively low speed and at a
later time read out at a higher speed in synchronism with an
internal storage unit. There is no accessibility-speed or searching
requirement, as information is read out only in recorded sequence.
The record must be capable of permanent storage. A large
quantity of information must be stored on a single record. The
erasability feature is not essential. For this type of application,
the medium is best handled in the flexible form of fine wire or
thin tape wound on a pair of spools or reels.
The rapid internal-storage type of application lies at the other
extreme. Here the information may have to be recorded, read,
and erased at frequent intervals. It must be possible to locate
quickly any specified storage cell for transferring information to
or from the cell. A reasonable arrangement for this type of
service is a rapidly rotating rigid drum with the magnetic medium
on the cylindrical surface.
Information may be recorded on a number of parallel tracks
located side by side along the length of the drum. In this way,
the time required for a selected cell to reach the reading head
will not exceed one revolution period of the drum. If several
reading heads are spaced around the circumference of each track,
this maximum waiting time is correspondingly reduced.
Between these two extremes many variations in physical form
are possible. For example, a supplementary storage system of
moderate reference speed might use as a medium an endless
loop of tape containing two or more parallel tracks of information.
The styles of head most commonly employed in magnetic
recording are diagrammed in Fig. 14-2. In Fig. 14-2a the pole
pieces are in line with each other and are in contact with either
side of the carrier. This magnetizes the medium in a direction
TRANSFER MEDIUMS
325
normal to its surface and is known as perpendicular recording.
In Fig. 14-26, the pole pieces are not in line but are displaced
slightly with respect to each other. This arrangement tends to
concentrate or focus the flux in the tape into a narrow region,
so that wider pole tips of lower reluctance may be used. The
resultant magnetization in the medium is still essentially per-
pendicular, although it may have a small longitudinal com-
ponent. In Fig. 14-2c, the pole pieces are still further displaced
to provide longitudinal recording, in which the magnetization is
(o)
(b)
(c)
(a)
(b)
(O
(d)
MAGNETIZATION
PERPENDICULAR
PERPENDICULAR
LONGITUDINAL
LONGITUDINAL
FORM OF CARRIER
TAPE
TAPE
TAPE, WIRE
TAPE, WIRE, DISC.DRUM
CLEARANCE
CONTACT
CONTACT
CONTACT
CONTACT, NON-CONTACT
Fig. 14-2. Magnetic-recording-head styles.
parallel to the direction of motion. Figure 14-2<i shows a ring-
type head in contact with one side of the carrier, also for longi-
tudinal recording. This is an increasingly popular form of
head.
It is evident that round wire is satisfactory only for longitudinal
recording. It is not suitable for perpendicular recording because
there is no way of returning the wire to its original axial orienta-
tion for playback. Tape is satisfactory for either method.
Efficiency of magnetic coupling between the carrier and the
head, and also sharpness of resolution, are more easily achieved if
the pole pieces are maintained in contact with the carrier. Con-
tact recording, however, is feasible only if the linear speed of the
carrier is relatively low, for abrasion at the head due to high-speed
passage of the carrier is sufficient to wear it away rapidly. This
method is used almost exclusively in the recording of sound,
where speeds fall in the range of 6 or 8 inches per second to several
feet per second. Digital recording, on the other hand, generally
calls for considerably higher linear speeds. Particularly for
326 PHYSICAL COMPONENTS AND METHODS
rapid internal storage systems, speeds upward of 100 inches per
second must be used, and 2,000 inches per second is conceivable.
At such high speeds, abrasion of the head and the carrier makes
contact recording quite impractical, and it becomes necessary to
maintain a small head-to-carrier clearance. Head styles a, b, c,
and d in Fig. 14-2 may all be operated in contact with the carrier,
but of these only the ring type of longitudinally magnetizing
head d is considered suitable for noncontact recording.
For rapid internal storage, then, we may confine our discussion
to the case of noncontact ring-shaped heads and longitudinally
recorded tracks around the periphery of a cylindrical drum.
Transfer of Data. Transfer of information to and from the
drum consists in general of three processes: erase, record, read.
The purposes of erasure are to obliterate previously recorded
material and to bring the medium into the initial magnetic state
required by the recording process. The required initial state
may be either complete demagnetization or longitudinal satura-
tion. (A possible alternative to demagnetization is transverse
saturation.)
Erasure by saturation, generally referred to as d-c erase, is
accomplished by subjecting the moving carrier to a strong con-
stant magnetic field in the longitudinal direction. The d-c erase
head may be either a d-c electromagnet or a permanent magnet
of suitable design.
Erasure by demagnetization, or a-c erase, is accomplished by
the familiar method of subjecting each element of the carrier to
an alternating magnetic field, the amplitude of which diminishes
to zero over a number of cycles. This may be done with an
a-c erasing head with a field which tapers off suitably on the
trailing edge. If the demagnetization of a given element must
be completed within a short distance of travel, then the erasing
field must alternate at a high frequency. This may limit the
depth of penetration of the erasing field so that previous signals
are not entirely removed. Thickness and electrical resistivity
of the magnetic coating of the carrier must be chosen to take
this effect into account.
The nature of the recording and reproducing, or reading,
processes may be illustrated by first considering a very simple
type of recorded signal and the signal forms associated with it.
Suppose the carrier has previously been demagnetized by a-c
TRANSFER MEDIUMS
327
erasure ; then if the carrier is held stationary with respect to the
recording head while a signal is imprinted by passing a direct
current briefly through the head winding, the resulting typical
distribution of magnetization J along the carrier will be as shown
in Fig. 14-3a.
If the carrier bearing such a signal is moved with constant
linear speed past the gap of the reading head, the shape of the
curve of time variation of the flux threading the winding will be
(o)
(b)
Fig. 14-3. Magnetization J plotted against linear displacement along the
carrier. In (a) is shown a distribution produced by applying a d-c signal to
the winding while the carrier is held stationary. In (b) is shown the effect
which would be produced by applying a signal while the carrier is in motion.
roughly similar to one of the humps shown in Fig. 14-4a. The
electromotive force developed in the winding is equal to the
product of the time derivative of this flux times the number of
turns, and it will therefore have a shape like that shown in Fig.
14-4fr. This voltage may be further differentiated by means of a
simple resistance-capacitance network to give a single sharp
pulse with definite polarity of the sort shown in Fig. 14-4c.
Suppose now that the signal is recorded dynamically rather
than statically, i.e., with the medium in motion. If the mag-
netizing field were able to rise abruptly and remain constant for
a brief interval T, then drop sharply to zero, the pattern of
Fig. 14-3a might be expected to " stretch," as in Fig. 14-36.
The flux pulse would display a flat top of length equal to the
pulse duration times the carrier velocity. The second derivative
328
PHYSICAL COMPONENTS AND METHODS
of this signal would contain a pair of pulses, which for most
purposes would be undesirable.
In practice, the magnetizing field will rise and fall in a manner
determined by the input signal and the circuit and head constants.
If the field is caused to fall from a fairly steep portion of the rise
curve, the shape of Fig. 14-3a can be approximated to a reasonable
degree in the dynamic case. Indeed, if a system is capable of
yielding the flat-topped voltage pulse of Fig. 14-36, then the
AA
W
» rv=:
A
X
V
(a)
(b)
(c)
1 10 I 0 0 VAC
Fig. 14-4. Effects produced by motion of carrier on which a representation
of the digits 110100 has been recorded. The signal shown is called a two-
level return signal because the flux <j> varies between two levels (one of which
represents the digit 1 and the other 0) and because it returns to the 0-level
between 1-pulses.
information represented by the pulse could evidently have been
recorded in a shorter length of track.
There are several ways in which binary digits can be repre-
sented by a recorded signal. Three classes of signal are illus-
trated in Figs. 14-4, 14-5, and 14-6. These represent the two-
level return signal, three-level return signal, and the two-level
nonreturn signal, which are discussed below. The horizontal
coordinate in all of these represents time. The distance between
adjacent vertical lines represents the time interval, or cell,
allotted to one binary digit. A series of seven cells is shown.
These contain the digit sequence 1, 1, 0, 1, 0, 0, with no signal
entered in the seventh cell.
TRANSFER MEDIUMS 329
Figure 14-4a shows the wave form of the flux in the core of the
reading head, for the case where the flux remains at a given level
M to indicate either a 0 or no signal, but shifts momentarily to
another level N to indicate a 1. To a first approximation this
time plot of (f> resembles the space plot of the magnetization
intensity / along the carrier. The two levels M and N between
which the flux shifts may correspond to saturation of the carrier
in the positive and negative directions, respectively. That is,
the carrier is previously d-c erased to saturation in one direction,
and a 1 is recorded by pulsing to saturation in the opposite
direction. Alternatively, the carrier may be a-c erased, in which
case the level M corresponds to demagnetized carrier and zero
flux, with JV corresponding again to saturation. (Although this
would appear to provide about half the signal voltage, there is
the possibility that the noise in a suitably demagnetized medium
may be sufficiently lower than the noise for the saturated state
to result in a net gain in signal-to-noise ratio.)
The emf induced in the winding of the reading head is shown
in Fig. 14-46. If this voltage is differentiated by passing it
through a suitable resistance-capacitance coupling network, the
derivative voltage will be of the form shown in Fig. 14-4c. The
portion of this voltage which falls below the threshold indicated
by the dotted line is a sharp pulse, the presence or absence of
which denotes whether the digit being read is a 1 or a 0.
Since only two states, or levels of magnetization, of the medium
are employed, one of the two kinds of binary digit must neces-
sarily be represented in the same manner as the absence of a
digit. In Fig. 14-4a, 0 is indicated in the same manner as no
signal. In some applications this may be considered a serious
limitation.
In the three-level return system, a definite signal is used to indi-
cate either kind of digit, with absence of signal reserved to denote
a vacant cell. When three-level recording is used, the carrier
is initially demagnetized by a-c erasure. A 1 is recorded by
saturating the carrier in one direction with a pulse, and a 0 is
recorded by saturating it in the opposite direction. Definite
positive and negative pulses are thus available for indicating l's
and 0's to the output circuits. This method is illustrated in
Fig. 14-5.
In the two cases described above, the reading-head flux returns
330
PHYSICAL COMPONENTS AND METHODS
to the no-signal condition at the end of each unit interval.
Figure 14-6 illustrates a method of recording known as the
two-level nonreturn system, in which the flux shifts from one level
to the other only when the new digit is different from the one
in the preceding cell.
Figure 14-6a is the time plot of the recording-head flux <f>,
which, again, is similar to the space plot of the magnetization J
along the carrier. The recording head is driven by a flip-flop
circuit in such a manner that the magnetizing field saturates the
N +
0 M
L+
VW^W-
(a)
(b)
(c)
I I 0 I 0 0 VAC
Fig. 14-5. Three-level return signal.
carrier in the positive direction for one condition of the flip-flop
and in the negative direction for the other. A 1 pulse at the
beginning of a cell causes the flip-flop to shift to the positive
condition, unless it is already there; a 0 pulse, to the negative
condition, unless it is already there.
If the time required for the transition, as seen at the reading
head, is taken as the minimum practical length of unit interval,
then 4> will vary with time somewhat as shown in Fig. 14-6a.
The voltage e\ induced in the reading head will vary as the time
derivative of <£, as shown in Fig. 14-66. A positive pulse denotes
the beginning of a series of l's and a negative pulse the beginning
of a series of 0's.
TRANSFER MEDIUMS
331
When ei swings beyond either the positive or the negative
threshold level indicated by the dotted lines, it causes a reading
flip-flop to shift to the corresponding positive or negative condi-
tion, where it remains until stimulated by a pulse of opposite
sign. The voltage e2 appearing at one of the plates of the flip-flop
pair is shown in Fig. 14-6c.
(a)
A
\
j
/
A
f
1
(I
\
V
1
J
1
1
(b)
(c)
(d)
(e)
I I 0 I 0 0 VAC
Fig. 14-6. Two-level nonreturn signal.
Figure 14-6d shows a clock pulse e3 of short duration occurring
near the end of each interval. If e2 and e3 are applied to two
grids of a gating tube, the clock pulses will be transmitted only
when e3 is in the positive state. The gate output voltage e4 is
shown in Fig. 14-6e, where the presence of a pulse denotes a 1
and the absence denotes a 0.
Comparison of Figs. 14-4 and 14-6 reveals some advantages
of nonreturn recording. If the cell repetition rate is taken to
be the same in both cases, it is evident that the maximum fre-
quency which must be handled by the recording and reading
heads in the nonreturn case is of the order of half the correspond-
332 PHYSICAL COMPONENTS AND METHODS
ing maximum frequency in the return case. Furthermore, if the
length of carrier per cell is the same in both cases, the shortest
region of unidirectional magnetization is about twice as long as
the shortest region in the return case. This implies that if the
heads and carrier in a given system are capable of storing a
definite maximum number of digits per inch of track and of trans-
ferring at a rate of so many digits per second on a return-signal
basis, then the same system should store effectively twice as
many digits per inch and transfer twice as many digits per second
on a nonreturn basis.
Transfer Schemes. The specific manner in which digits are
transferred to and from tracks on a storage drum is subject to a
degree of choice.
Consider the type of recording designated as selective mark
insertion, in which the two magnetic states of the carrier are
saturation in the positive and negative directions, on either a
return or nonreturn basis (Figs. 14-4 and 14-6). Suppose there
is no separate erasing head. If it is desired to write a digit into
a given cell, the recording head is pulsed in the appropriate
direction at the time this cell is passing the recording gap. If
synchronization and pulse shape are correct, the new digit appear-
ing in the cell will be independent of what was previously stored
in the cell. To read a given cell, the output of the reading head
(which may also be the recording head) is gated through at the
time the desired cell is passing the gap of this head. Associated
with each discrete digit position around the periphery of the
drum is a number, the binary representation of which is per-
manently recorded on the drum in a group of address tracks. A
given cell is selected by referring to these address numbers by
means of coincidence circuits.
This method, which may be termed selective mark insertion,
entails the considerable problem of entering a digit into a cell in
such a precise manner that the previously stored digit is com-
pletely eradicated. The principal advantage of the method
over continuous erasure is that the stored information is fixed,
or nonvolatile; i.e.; failure of power or of the writing system does
not destroy information stored on the drum. In fact, magnetic
recording in this fashion appears to be the only means of storage
which is both erasable and nonvolatile and at the present time
capable of reasonable speed at reasonable cost.
TRANSFER MEDIUMS 333
Another method of transferring data to and from the drum is to
apply the continuous erase-rewrite recirculating techniques similar
to those used in acoustic-delay-line storage systems.44-45 The
carrier travels successively past the reading head, an erasing
head which continuously removes previously recorded data,
and the recording head. Signals from the reading head are
reshaped and fed to the recording head. By means of suitable
interposed gates, it is possible to enter a new digit by impressing
it on the recording-head circuit at the proper time in place of the
recirculating digit coming from the reading head. Recorded
digits may be selectively read out by gating the reading-circuit
output into the output storage register at the appropriate time.
Since any delay in the rewriting circuit, even if introduced
deliberately, is apt to be considerably shorter than the transit
time of the carrier between the reading and recording heads,
the stored digital information is repeatedly transferred to new
positions on the track, and the entire pattern keeps shifting about
the drum. Location can be handled by a counting track as in
the spot insertion technique, but it is evidently necessary to
erase and rewrite the counting track in the same manner as the
digital tracks. A second control track containing permanently
recorded timing pulses may serve as a source of clock pulses for
synchronizing the shaping, gating, and rewriting circuits with
the drum rotation. Here, as in delay-line storage systems, the
stored information is volatile if the erasing is done with per-
manent magnets.
Track Schemes. Magnetic-drum storage is readily applicable
to parallel bus computer systems, with one or more tracks on
the drum serving each place or column of a multidigit number.
The locating tracks and circuits can be common to all columns.
If one track is used per column, then the system can store as
many numbers as there are digits per track. However, the
location of a given cell for reading or writing may require a
waiting time of one whole revolution of the drum. The access
time may be reduced in several ways. One method is to use
more tracks per column, with a drum of smaller diameter. This
may be uneconomical of circuit components. A more economical
method of reducing the waiting time is to install several reading
heads spaced around the circumference of each track. This, of
course, helps only the reading problem and does not reduce the
334 PHYSICAL COMPONENTS AND METHODS
time to reach a given cell for writing. Installation of a number
of dual-purpose heads around each track appears feasible, but
the circuit economy is again questionable.
Magnetic Design Considerations. In any magnetic storage
system the speed of operation and over-all size are largely deter-
mined by the physical and magnetic properties of the magnetic
medium and the head structures.
The principal properties desirable in a magnetic recording
medium and in the head structures for rapid and compact digital
storage will be described briefly. These properties as applied to
magnetic recording in general have been discussed in a number of
papers.21'39
The value of the maximum energy product in a medium
(BH^) should be large. This quantity is indicative of the
energy which may be stored in a given sized volume of the
medium and is, therefore, an index of the relative signal strength
obtainable from the record when wavelengths are short, as
required in the practical case. This statement is explained by
the following considerations:
The coercive force Hc must be large to enable a given element
of the medium to be magnetized independently of adjacent ele-
ments. High coercive force makes possible improved definition,
or resolution of the recorded pattern into smaller elements.
However, if a magnetized element is shortened in the direction
of magnetization, its demagnetizing factor becomes larger, and
the residual field available for generation of signals in the reading
head diminishes. This variation of residual field with length of
magnetized area is less if the ratio of coercive force to remanence,
Hc/Br, is large. The role of self-demagnetization in the magnetic
recording process has been treated by Wooldridge,39 Camras,21
and Kornei.28
Since the voltage generated in the reading coil is proportional
to Br, both Br and Hc are as large as possible in the best recording
mediums.
If the recording signal contains high-frequency components,
the depth of penetration of the signal into the medium is limited
by skin effects. If the electrical conductivity of the medium is
low, the depth of penetration is not so severely limited. This
is an important advantage of the magnetic oxide coatings over
solid metallic mediums. If the magnetic coating is kept suffi-
TRANSFER MEDIUMS 335
ciently thin, there will be no great differences in effective depth,
or thickness, of recorded signals at different frequencies, and
consequently no great difference in flux available for generation
of signal voltage. If a-c erasure is contemplated, these same
factors must be recognized in order that the erasing field may be
capable of penetrating to the deepest level of recorded signal.
In noncontact longitudinal recording, the fringing flux in
the vicinity of the gap of the ring-shaped head penetrates the
carrier and records the pattern of information. The geometry
of the core and the gap must be carefully chosen so that the
fringing field exhibits the desired properties. The longitudinal
component of this field must be as large as possible at the inter-
section of the equatorial plane of the gap and the surface of the
carrier, at the specified head-to-carrier clearance. For resolving
power, the flux density must drop off rapidly on either side of the
equatorial plane. Both the longitudinal extent of the flux pattern
and its maximum intensity must be as insensitive as possible to
variations in head-to-carrier clearance.
The magnetic properties of the head cores must be similar in
many respects to those of communication-type transformers
capable of passing wide bands at high frequencies. The initial
permeability should be high in reading heads, because of the very
small magnetomotive forces involved. For recording it is
important that the maximum permeability be high enough to
prevent saturation. The coercive force should be small in both
cases to eliminate residual magnetization effects. Alloys such
as 4-79 Permalloy, Supermalloy, and Mumetal are representa-
tive.19 Cores must be built up of suitably insulated thin lamina-
tions for proper high-frequency response.
The recording-head winding must supply a large number of
ampere turns. At the same time, the ratio of inductance to
resistance in the circuit must be kept low for rapid response.
This indicates the desirability of a relatively small number of
turns of large wire, operated at high currents. In the reading
head, large output voltage is the critical quantity, and therefore
a large number of turns is indicated. In both types of winding,
resonant frequencies within the pass band of the system must be
avoided.
Ring-shaped heads are frequently made up of two equal halves,
for ease of fabrication. The additional air gap (see (r2, dotted in
336 PHYSICAL COMPONENTS AND METHODS
Fig. 14-2d) appearing in the magnetic circuit tends to reduce the
inductance, the flux due to a given magnetomotive force, and the
remanent induction.
Description of a Typical System. Conservative magnetic-
drum design constants on which ERA has standardized are the
following:23
Digit spacing: 80 digits per inch, on each track around the
drum.
Track spacing: eight tracks per inch along the drum surface,
in the direction parallel to the axis.
Surface speed: 1,600 inches per second.
Maximum diameter: 34 inches.
These same specifications were used in the magnetic-drum exam-
ple of Sec. 14-1-1 ; reliable storage systems conforming with them
have been developed and tested. It is probable that reliable
systems for the storage of from a few thousand binary digits to
2 million or more on a single drum can be constructed.
The most suitable recording medium25 known to the authors at
the time of this writing is magnetic iron oxide applied in sus-
pension with a spray gun and protected by a thin layer of hard
lacquer. A clearance of 0.002 inch is maintained between the
heads and the drum surface.
Typically, numbers are stored on the drum in parallel repre-
sentation; i.e., every digit of a number appears in a separate
track, and all digits of the same number pass under their respec-
tive heads simultaneously.
As another example, suppose we wish to store 10,000 numbers
ranging from 000,000,000 to 999,999,999. In the binary system
we need 30 digits to express the number 999,999,999 because
230 = 1,073,741,824. Therefore we need the equivalent of 30
parallel tracks around a drum, each track long enough to contain
10,000 digits. (The corresponding considerations pertinent to a
binary-coded decimal representation may be derived from the
rules set forth in Sec. 13-4-5.) For the sake of ease of reference,
as will become clear shortly, it is convenient to design a drum so
that the number of digits in each track around it is a power of 2,
though this is by no means necessary. In this example, we shall
assume a drum containing 8,192 (i.e., 213) binary digits per track.
10,000 is between 213 and 214, so we need two groups, each of 30
TRANSFER MEDIUMS 337
parallel tracks, around the drum to accommodate the 10,000
numbers.
In order to locate any number in storage, as was explained in
Sec. 5-4-2, there must be associated with it an address which
specifies uniquely the location in the storage medium where that
number may be found. We need 8,192 addresses to identify the
8,192 angular positions around the drum and two addresses to
identify the two 30-track groups. Provision must be made on
the drum for the addresses of the 8,192 angular positions expressed
in binary digits; 13 channels will be required. Finally, one
channel is required for timing. So the drum must have 74 tracks,
with each of which will be associated one magnetic head.
Such a drum, which is actually capable of storing 16,384 (i.e.,
214) numbers of 30 binary digits each — though our assumed
requirement specified only 10,000 — will be about 34 inches in
diameter and 10 inches long. The storage cycle time will be
about 64 milliseconds. About 660 vacuum tubes will be required
in the associated reading and writing circuits, or about 1.3
tubes per 1,000 digits stored. This example was chosen to show
the economy of magnetic-drum storage for large quantities of
data. In terms of tubes per 1,000 digits, the magnetic drum is
more economical than the mercury delay^ line, as may be noted
by comparing the figure given above with the figure of 11 tubes
per 1,000 digits for a particular mercury delay line machine
mentioned in Sec. 14-1-1. Another major advantage of the
drum is nonvolatility of the recording. On the other hand, the
storage cycle period is relatively long. As was pointed out in
Sec. 12-2, the choice of a particular machine must be made
with all the problem requirements in mind.
Magnetic drums can be built to store many more or fewer
digits than the drum postulated above. Table 14-1, a con-
densation of a table prepared by ERA,23 shows a few possible
combinations of design parameters and the corresponding cost
of each system in tubes per 1,000 digits.
Reliability. The life expectancy of magnetic wire and tape
depends upon whether or not the heads are placed in contact
with the medium. Home recording equipment built by the
Brush Development Co. employs coated paper tape and contact
heads, and the tape is specified to be good for 1,000 playings.
Plastic tape and plated tape should wear better than coated tape,
338
PHYSICAL COMPONENTS AND METHODS
and if the heads are not placed in contact with the medium, its
life is limited only by the wear resulting from passing it from one
reel to another.
Table
14-1
Storage capacity
Storage
cycle
time,
milli-
seconds
Drum dimen-
sions, inches
Num-
ber of
mag-
netic
heads
Num-
ber of
track
groups
Num-
ber of
tubes
Corre-
sponding
number
of 30-
digit
numbers
Tubes
per
1,000
digits
Number of
binary
digits
Diam-
eter
Length
61,440
2,048
8
4.3
10
71
2
630
10
122,880
4,096
8
16
4.3
8.5
18
10
131
72
4
2
820
640
6.7
5.2
245,760
8,192
8
16
32
4.3
8.5
17
33
18
10
251
132
73
8
4
2
1,200
830
650
4.9
3.4
2.6
491,520
16,384
16
32
64
8.5
17
34
33
18
10
252
133
74
8
4
2
1,210
840
660
2.5
1.7
1.3
983,040
32,768
32
64
17
34
33
18
253
134
8
4
1,230
850
1.3
0.87
1,966,080
65,536
64
34
33
254
8
1,240
0.63
Magnetic storage mediums are reliable and do not wear rapidly
when noncontact heads are used. The record is nonvolatile
and insensitive to temperature, humidity, and small amounts of
scratching or dust.
When the reading or recording heads are maintained in contact
with, the medium, there is a tendency to scrape up magnetic
material and fill the air gap. The reliability under such circum-
stances therefore is rather unpredictable.
The signal level at the output or reading head is low and
requires voltage amplification in order to obtain a reasonable
pulse size. The impedance of a writing head is low, so power
amplification is required at the input to the system.
TRANSFER MEDIUMS 339
Size and Cost. The capacity of magnetic wire and of coated
paper tape is in the order of 10 10 digits per cubic foot and 3 X 109
digits per cubic foot, respectively. The cost of storing digits in
the two mediums is about 2.5 X 106 digits per dollar on wire and
107 digits per dollar on tape. Read-write speeds are about 104
digits per second for wire and 105 digits per second for coated
paper tape.
To make supplementary copies of a magnetic wire or tape
record, it is feasible to connect a reading unit of a computer to
the recording unit and run them off. Magnetic reading equip-
ment is required to inspect the record, but checking equipment
should not prove a particularly expensive addition to a large
computer. An average of about six tube envelopes is required to
read from and write on each channel of digital magnetic record.
Conclusions. Magnetic mediums are particularly suitable in
situations where alterations of the recorded data are desirable
from time to time, since new data may be recorded over old.
It is also convenient to be able to correct errors at the time that
records are being made.
A double-ended medium is easier to handle than a loop, and
tape is somewhat easier to handle than wire. Tape is more
versatile than wire since only longitudinal recording can be
used on the latter.
Magnetic materials are also considered an excellent medium for
a permanent storage system such as might be used at the input
and output of a digital computer. Two possible configurations
are of the most interest: double-ended wire or tape and loops of
wire or tape. The former is most convenient for data which are
to be read in or out only once, and the latter is useful for tables
or other data which must be referred to frequently and possibly
in random order.
14-2-5. Phosphor Storage. The persistence of light radiation
from phosphorescent materials has been considered as the basis
for digital storage; O'Neal and Tyler of Eastman Kodak Com-
pany11 and Moore of Harvard41 have reported their early findings
on this subject. A light-spot pattern may be placed on a phos-
phorescent medium at a given time and place and be detected
at a later time and different place. Since phosphorescent storage
of light is volatile, the light spots must be regenerated periodi-
cally. Therefore, phosphors are considered suitable as cyclic
340 PHYSICAL COMPONENTS AND METHODS
dynamic storage mediums. They are best used when in the
form of a coating upon a rotating disk or drum similar to the
magnetic drum described in the preceding section.
When a phosphorescent material is energized by electromag-
netic radiation, it continues to radiate energy, usually of a longer
wavelength, for some time after the excitation energy has been
removed. The decay of energy from a phosphor is exponential
in character, and therefore the radiated energy must be utilized
before the elapse of a time corresponding to a certain minimum
value of radiation. It is also desirable to erase the record com-
pletely before recording on the same area again. This is to
ensure a uniform degree of discrimination between areas in an
excited state and areas in a nonexcited state. A method of
erasing is to irradiate the phosphor with infrared. Experiments
have shown that thorough erasure by this procedure may be
obtained only at the expense of overheating the carrier medium.
Phosphors were developed during the Second World War
which have the property that they store a considerable amount of
energy when irradiated with ultraviolet light and release visible
light when stimulated by infrared. Further irradiation by
infrared completely removes the stored energy. The process is
cyclic, and the phosphor is not consumed in being returned to
its original energy-free state. These phosphors are being studied
at the Eastman Kodak Company.
Because the energy level of a phosphor decreases with time,
only two states, energized and nonenergized, are readily usable in
a phosphor storage device. An important factor in determining
the usefulness of phosphors as a storage medium is the resolu-
tion which can be obtained. From this factor, the capacity and
access time of a drum of reasonable size can be computed. How-
ever, this information has not been announced.
The writing equipment for a phosphor storage system consists
of a visible or an ultraviolet light source which is capable of being
modulated at a high frequency. The light source is projected
as a small spot on the periphery of a phosphor-coated disk or
drum. Electrical pulses corresponding to digits of information
are supplied to modulate the light source as the disk or drum is
rotated. Energized spots are then produced sequentially around
the periphery to correspond to the pulsations of light.
The reading equipment includes an optical system to project
TRANSFER MEDIUMS 341
on a photocell the light from an area on the drum surface. If the
phosphor used must first be stimulated by infrared radiation, a
source of infrared is located ahead of the phototube.
The reliability of a phosphor storage system is difficult to
ascertain. There are engineering problems of light shielding,
heat dissipation from the system, and dust elimination from the
optical equipment. On the other hand, the spacing between read-
ing and writing heads and the surface of the drum is probably not
as critical for the phosphor drum as it is for the magnetic drum.
At the present time, the phosphor storage system does not
seem to compete seriously with other better developed devices.
14-2-6. Sonic-delay-line Storage. One of the most adaptable
means of high-speed dynamic storage is the sonic delay line.42-50
Binary digits have been stored in these lines with a digit duration
in the order of microseconds. Sonic delay lines have been
selected as the storage medium and as part of the arithmetic
unit of several large computing machines, including the EDVAC,
the BINAC, and the proposed UNIVAC. The first of these
machines was built by the Moore School for the U.S. Army
Ordnance Department; the second was built by the Eckert-
Mauchly Computer Corporation for Northrop Aircraft, Incor-
porated ; and the third is undergoing final development and con-
struction at the Eckert-Mauchly Corporation at the time of this
writing.
Mediums Available and Modes of Transmission. Sonic delay
lines function by transmitting sound pulses (usually at ultra-
sonic frequencies) through a chosen medium. The general nature
of this medium is of prime importance and deserves first con-
sideration in a description of a sonic storage system. Gaseous
mediums seem not particularly useful for this application because
of high attenuations and other obvious difficulties. Either solid
or liquid mediums seem to offer some promise, although at the
moment liquid mediums seem more convenient. This con-
venience arises from the fact that in liquids only one type of wave
motion is important, the compressional mode. Since there can
be no elastic shearing force in liquid, the only transverse waves
possible are surface waves. On the other hand, solids exhibit
pronounced tendencies to transmit transverse waves as well as
numerous other modes, and all these modes propagate with differ-
ent velocities.
342 PHYSICAL COMPONENTS AND METHODS
The compressional wave in many liquids propagates with a
velocity in the neighborhood of 5 feet per millisecond, more or
less, depending upon the medium. In particular, in mercury,
which is the most popular medium for delay lines for computing
devices, the propagation time is just slightly less than 17.5
microseconds per inch at normal room temperature. The delay
time for compressional waves in quartz is about G.3 microseconds
per inch. Compressional waves are likely to be propagated
one and a half to two times as rapidly as transverse waves,
depending upon the elastic properties of the substance. In
fused quartz, for example, the velocity of the transverse wave is
about 63 per cent of the velocity of the compressional wave,
so that the delay time is about 10 microseconds per inch.
Four mediums have been seriously considered for delay lines.
These are fused quartz and magnesium alloys for solid delay
lines, and mercury and aqueous solutions of ethylene glycol or
other solutes for liquid delay lines. The transducer for convert-
ing sonic to electrical energy is a piezoelectric crystal, usually
quartz.
The choice of the medium to be used is usually based upon one
or more of the following factors, the importance of which must
be estimated in connection with the particular problem at hand:
1. Required delay.
2. Allowable duration of digits.
3. Attenuation, and minimum allowable signal-to-noise ratio.
4. Discrimination against spurious signals and echoes.
5. Dependence of delay on temperature, pressure, frequency,
etc.
6. Cost, availability of materials, ease of manufacturing, etc.
7. Reliability, ruggedness, etc.
General Structure of Delay Lines. The general structure of
delay lines is described in the literature.42,43 The structure
usually consists of two quartz-crystal transducers separated by
the transmitting medium. The resonant frequency of these
transducers may be from 5 to 30 megacycles. One is a trans-
mitting transducer; it receives electrical signals and through
piezoelectric contractions transforms them to sonic signals in
the medium. The other is a receiving crystal ; it vibrates under
the influence of the sonic signals from the medium and generates
TRANSFER MEDIUMS 343
electrical signals. Both crystals are cut with orientation of
anisotropic axes so that the mode of vibration will introduce
waves of the type chosen — compressional waves in liquid and,
possibly, transverse waves in solids. In order to gain good
directional properties of transmission, the crystal faces are plane
and several wavelengths in dimension. The crystals are care-
fully aligned so that the faces of the transmitting and receiving
crystals are as nearly parallel as they can be made, and so that
the perpendicular from the center of one face strikes the center
of the other. In some cases reflectors are used to reduce the
over-all length of the delay lines while maintaining a given
acoustic length. The amount of delay depends upon the
velocity of sound waves through the medium and upon the
distance between the transducers.
In the past, for computing purposes, binary digits have been
used; a burst of signal persisting a fraction of a microsecond is
used to denote the digit 1, and no signal at all is used to denote
the digit 0. An alternate scheme might be to use two different
frequencies to represent the two digits 0 and 1, or r different
frequencies to represent different digits radix r.
Acoustical Match. The choice of mercury as the medium
for sound transmission in liquid delay lines is dictated mainly
by consideration of acoustical impedance. Where sound is
being transmitted across a boundary from one substance into
another, reflection will normally take place. The fraction of
energy reflected and the fraction transmitted through the sub-
stance as a ray strikes the boundary perpendicularly depend
upon the degree to which the acoustical impedances of the two
substances match. Acoustical impedance is a parameter which
depends upon the elastic properties of the substances. The
only known liquid with an acoustical impedance comparable to
that of quartz is mercury. This implies that the vibrational
energy of the transmitting transducer is transferred efficiently
to the mercury and that most of the energy transmitted to the
receiving transducer is absorbed by this transducer and converted
to electrical energy.
The efficiency of transfer of energy is important in several
ways. In the first place, there is the obvious desire to transmit
strong signals through the medium; this, however, is probably
not as important a consideration as two others. The energy
344 PHYSICAL COMPONENTS AND METHODS
not absorbed by the receiving crystal is reflected back to the
transmitting crystal, and it is again reflected by the transmitting
crystal to the receiving crystal; thus, if there is not a good
impedance match between the transducer and the medium,
the possibilities of echoes are enhanced, and signals may be
modified seriously by these echoes. Finally, transducers nor-
mally are very sharply resonant, and some steps must be taken
to decrease the Q of the crystals in order to increase the obtainable
bandwidth. The most efficient way of decreasing the Q is by
loading the crystal mechanically with the transmitting medium
itself ; in this way the Q is decreased by virtue of the fact that the
energy is transferred at a high efficiency to the medium.
Fused quartz is a popular choice for solid delay lines because
of the absence of many objectionable features found in other
solids. Its acoustical match to quartz crystals is extremely
good. Of the other two types of delay lines already mentioned,
the match between magnesium alloys and quartz is so poor, and
that between aqueous solutions and quartz is so poor, as to make
these delay lines probably useless in computing machine applica-
tions. Magnesium alloys, however, have a somewhat better
acoustical match with ADP* crystals, and the match between
the solid delay lines and the quartz crystals can conceivably be
improved by judicious choice of cement between the crystal and
the transmission medium.
Temperature Variations. The velocity of sound in mercury
at frequencies of a few megacycles will change about 1 part
in 3,000 for each degree centigrade change in temperature.
This means that if 3,000 binary digits are stored in the delay
line, and if no log is kept of the digits emerging, and if the tem-
perature in the delay line is not known to within 1°C, then even
though the individual digits emerging can be read perfectly,
it is impossible to tell which digit is being read at a given time.
This implies practical limitations on the length of mercury delay
lines. Other substances show a similar dependence of velocity
on temperature. Fused quartz, used with transverse waves,
has a temperature dependence less than half that of mercury;
this implies that more than twice as many digits can be stored in
quartz as in mercury before temperature troubles arise, assuming
that the temperature control of each substance is comparable.
* Ammonium dihydrogen phosphate, NH4H2PO4.
TRANSFER MEDIUMS 345
This assumption is probably not completely justified. Pure
water shows a zero dependence of velocity on temperature for
temperatures around 74°C. For lower temperatures, the
dependence is fairly marked ; however, some solutes, in particular
alcohol and ethylene glycol, can be used to reduce the temperature
at which this zero temperature coefficient occurs. This is the
consideration which has led to the adoption of aqueous solutions
in sonic delay lines. However, in the case of most computing
applications, where the pulse repetition rate is so great that
echoes could cause difficulty, this temperature consideration is
overruled by the interference consideration.
Attenuation. The theory of transmission of sound through
liquids predicts an attenuation of sonic energy proportional
to the square of the frequency. This condition is confirmed for
frequencies of the order of a megacycle. For mercury, attenua-
tion is about 5 decibels per millisecond at 10 megacycles. It is
therefore not a serious consideration at this frequency and
reported results of propagation measurements indicate no sig-
nificant change in velocity or frequency-free absorption coeffi-
cient with frequency.48 In solids, the attenuation is nearly
proportional to the frequency. At 10 megacycles the attenua-
tions in fused quartz and in mercury are comparable. At 30
megacycles, fused quartz should still be usable without serious
attenuation.
Beam Characteristics of Crystals. For frequencies so high
that the wavelength of the transmitted sound is short compared
with crystal dimensions, plane crystals radiate narrow, highly
directive beams. The width of the beam is governed by the
usual equations of transmission of plane waves through windows.
In particular, with crystals of reasonable size and with trans-
mitted frequencies of a few megacycles, the beam width is suffi-
ciently narrow to require careful aiming to give efficient trans-
mission of sound through the medium. For transmission through
solids, where the wavelength is longer, this directivity is reduced.
This is one consideration which is of some importance in deciding
between liquid and solid delay lines.
Pulse Duration. The shortest pulse which can be successfully
transmitted is a function of several variables. In the first place,
it must be realized that the pulse is a modulation of a carrier
and that, as such, it contains essential side bands with band-
346
PHYSICAL COMPONENTS AND METHODS
Table 14-2. Summary of Important Sonic Properties of Delay-line
Mediums
Magnesium
Fused
Mercury
Alcohol
Property-
alloy
quartz
solution*
(Solid)
(Solid)
(Liquid)
(Liquid)
Match with
Fair (with
Excellent
Good
Unsatisfactory
crystal
ADP)
Dependence of ve-
About 1
About 1 part
About 1 part
Zero at normal
locity on tem-
part in
in 9,000 per
in 3,000 per
temperature
perature
2,500 per
degree cen-
degree cen-
degree
tigrade
tigrade
centigrade
Dependence of ve-
locity on fre-
quency
Too small to be noted **
Dependence of at-
tenuation on
frequency
Unknown
Linear
Quadratic
Quadratic
Minimum binary-
digit duration
Less than 5 X 10-7 second
Unknown
Velocity-
Trans-
Transverse:
145 centime-
verse :
380 centi-
t e r s per
300 centi-
meters per
millisecond
m e t ers
millisecond
per milli-
Longitudi-
second
nal : 590
Longitudi-
centimeters
nal: 550
per millisec-
t o 580
ond
centi-
meters
per milli-
second
Attenuation
10 decibels
10 decibels
5 decibels per
per milli-
per milli-
millisecond
second at
second at
at 10 mega-
10 mega-
15 megacy-
cycles
cycles
cles
* Other solutions also give zero temperature dependence with poor
transducer match.
TRANSFER MEDIUMS
347
width depending on the pulse shape and length. The sharply-
resonant properties of the crystal transducer limit the bandwidth
which it will accept ; in order to widen this bandwidth, loading of
the crystal is necessary. It has been pointed out that this
loading is most effectively brought about by a good match
between the crystal and the medium. In fused quartz, it seems
likely that a 6J^-megacycle bandwidth can be attained easily
for a 30-megacycle carrier. This might permit pulses spaced
6 to the microsecond. Four pulses per microsecond have already
been attained in mercury; at least 2 per microsecond have been
CLOCK
PULSES
CONTROLS
READ
IN
Fig. 14-7. Acoustic-delay-line storage system.
attained in solid delay lines. Roughly, the same consideration
will hold for either frequency-shift or on-off indications of digits.
Complete Storage System. The read-write equipment asso-
ciated with an acoustic-delay-line type of storage system consists
of a driver which excites the input crystal, an amplifier at the
output to compensate for the attenuation through the delay
line, and a set of gates with which to control the course of the
stream of pulses. These components are illustrated in Fig. 14-7.
Pulses may be introduced into the tank when G± is open and will
continue to circulate until G2 is opened, whereupon the stream
will be terminated at G2. All the circulating pulses or any
portion thereof may be read by opening G$ when the desired
pulses are leaving the delay tank.
The components described require about 11 tubes, and the
348 PHYSICAL COMPONENTS AND METHODS
complexity of the equipment is independent of pulse-stream
length. On the other hand, the degree of temperature control
required does depend upon the pulse-stream length. In order
to keep the pulses emanating from the delay line synchronized
with clock pulses, the temperature of the medium must be con-
trolled closely so that the actual delay time remains nearly
constant. Another approach to the problem is to mount the
delay lines together so that they all have the same temperature
within an allowable tolerance and to use one of the delay tanks to
control the spacing of the clock pulses.50 Thus, the delay in a
tank would correspond to a constant number of pulses even
though the actual delay time varied with temperature.
In the BINAC there are 18 separate delay lines or channels in
the same tank of mercury. This is a cylindrical tank with cir-
cular cross section about 3 inches in diameter. The capacity
of each channel is 1,344 pulse positions, including 960 digits
and the algebraic signs and spaces between digit groups. At
the effective carrier frequency used in the BINAC (about 12
megacycles) a transducer of the order of % inch across becomes
such a sharp-beamed acoustic radiator that no shielding in the
tank is actually necessary to isolate each beam through the
mercury from the others, although shielding has been used as an
additional precaution.
The possibility of adding reading heads along the path of a
stream of pulses within an acoustic delay line has been considered,
but no results are known to have been announced. The attenua-
tion introduced by such units is large if the acoustic match is
good ; on the other hand, if the acoustic match is poor, there will
be echoes in the tank and the true signals will be difficult to
distinguish.
Conclusions. To date, more work has been done on mercury
delay lines than on other types. The cost of such systems of
storage is estimated to be about $1 for 10 binary digits, and the
space required is approximately 1 cubic foot for 2 X 104 binary
digits.
Mercury delay lines have been used for some time in several
applications, including radar equipment and training devices.
They are reasonably reliable. Their only serious defect is the
variation of velocity with temperature, but this may be handled
in a straightforward manner.
TRANSFER MEDIUMS 349
14-2-7. Electromagnetic Transmission-line Storage. An obvi-
ous way in which to delay and store electrical pulses is to intro-
duce them directly into one end of a transmission line and to
read them at a later time as they emerge from the other end.51-59
Transmission lines may be used as cyclic or noncyclic storage
mediums by regenerating and recirculating the pulses at the
receiving end of the line or by using the pulses as they emerge
after a fixed delay time.
General. The major difficulty with transmission-line storage
is that an unreasonable length of line is required to store a large
number of digits. This is true because the phase velocity of
electrical pulses along ordinary transmission lines is of the order
of magnitude of the velocity of light. Since the lines must
necessarily be long in order to be of use as storage mediums, con-
siderable power is dissipated in the resistance of the conductors
in the form of ohmic, eddy-current, and hysteresis losses. A
number of attempts, therefore, have been made to decrease the
phase velocity along various types of transmission lines in order
to make them more suitable for use as storage mediums.
Several features of the pass band are important if a short pulse
is to be passed through a transmission line and remain distinguish-
able at the far end. If a pulse has a width p, the line must pass
at least the fundamental frequency 1/p. Kallman shows54 that
nonlinear phase shift of the major frequency components, or
phase distortion, of the pulse is more detrimental than amplitude
attenuation, or frequency distortion. Phase distortion of com-
ponent frequencies tends to spread out the pulse in time and
causes it to be indistinct. In some situations where a lengthened
pulse is desired, this property of a delay circuit can be used to
advantage, but when delay lines are used for pulse storage,
phase distortion must be held within rather close limits in order
to get a good pulse-packing factor.
It is desirable that the pass band of a delay line include the
pulse-repetition-rate frequencies so that d-c pulses may be passed
directly. Waveguides, however, cut off low frequencies but
may be used to store a pulsed carrier which lies within the pass
band. As a result, the auxiliary equipment necessary for use
with waveguide storage is more complicated than for wire
lines.
Some thought has been given to the possibility of storing digits
350 PHYSICAL COMPONENTS AND METHODS
of radix higher than 2 by representing each with a corresponding
frequency. This possibility is described in more detail in Sec.
1G-2, but it might be noted that a wide-band transmission line
would be suitable for the storage of these frequency-shift pulses.
Three familiar forms of transmission line have been considered
for computer storage. They are the waveguide, the wire trans-
mission line, and the artificial line with lumped parameters.
Waveguide Storage. If the techniques were available to utilize
pulse repetition rates much greater than 106 pulses per second,
advantage might be taken of the bandwidth of waveguides since
it is much greater than that of other types of transmission lines.
A practical limitation on the bandwidth of frequencies which
can be sustained in a waveguide is determined by the disturbances
to the structure caused by the input and output coupling mecha-
nisms. By careful design of the couplers, it is possible to make
the standing-wave ratio caused by the coupling less than 1.15
over a frequency deviation range of 10 to 15 per cent. As an
example, if a carrier frequency of 3,000 megacycles is used, and a
standing-wave ratio of less than 1.15 must be maintained, a
maximum bandwidth of 900 megacycles is possible.
A waveguide with a bandwidth of 900 megacycles may be used
to store dbuble-side-band pulsed carriers at a repetition rate in
the order of 108 pulses per second, which is 100 times as great
as for the example cited using a sonic delay line. However, the
capacity of the waveguide is only 1 digit for each 10-foot length,
and the attenuation problem in a waveguide long enough to
store 103 digits is severe. In a 1.5- by 3-inch waveguide the
attenuation is approximately 1 decibel per 100 feet, so the total
attenuation for the storage of 103 digits is about 100 decibels.
Amplification over a bandwidth of 900 megacycles to restore the
signals to their original amplitude is not feasible with conven-
tional tubes, but it is possible with traveling-wave tubes.
Some work has already been done on low-velocity waveguides.
For example, in the linear accelerator being built at Stanford
University, waves are slowed down in a waveguide by means of a
series of irises placed inside the guide. Although equidistant
irises are interesting, in that they are effective in slowing down a
wave, they cause the guide to act like a band-pass filter so that
attenuation and time delay vary considerably with frequency.
This results in pulse distortion; hence a low-velocity waveguide
TRANSFER MEDIUMS 351
of this type is of limited usefulness as a wide-band storage
medium.
Transmission Lines with Distributed Constants. A considerable
amount of work has been done on wire transmission lines to
reduce phase velocity. As a result, solenoidal lines have been
developed for use in equipments including synchroscopes and
pulse-forming networks. 5 1 • 53, 54, 58* 59
In a wire transmission line at relatively low frequencies, if
losses are neglected, the time required for a pulse to travel along
a unit length of line is represented by the equation
T = y/W
where T = delay time per unit length
L = series inductance per unit length
C = shunt capacity per unit length
The first attempts to increase the delay time resulted in a line
with one wire wound in the form of a solenoid inside of or sur-
rounding a conductor of large, surface area. The effect of the
solenoidal winding is to increase the series inductance of the
line owing to the increased self-inductance and the introduction
of mutual inductance between turns. The other conductor,
formed in a semicylindrical shape, increases the capacity from
one turn to the next. In order that it may not present a shorted
turn in parallel with the turns of the solenoid, the semicylindrical
conductor has an insulated longitudinal strip. The resulting
structure is quite complicated to analyze; however, Rudenberg
has shown56 that waves follow the spiral with approximately the
velocity of light so that the delay time may be represented by
the equation
T ^ —
c
where T = time delay per unit length of line
lw = length of wire per unit length of line
c = velocity of light
This expression results in a good approximate design formula
for a spiral delay line at low frequencies.
When pulses of short duration are transmitted through a delay
line of the solenoidal type, it is found that the various frequency
components do not reach the receiving end at the same time,
352 PHYSICAL COMPONENTS AND METHODS
owing to phase distortion. This effect is caused in part by the
high-frequency path through the turn-to-turn shunt capacity
along the solenoid and in part by a decrease in effective series
inductance as the wavelengths of frequency components approach
the dimensions of a turn. The latter effect results from the fact
that when the phase angle between the fields surrounding
adjacent turns is reduced, the effective mutual inductance
between turns is also reduced.
One of the first low-velocity transmission lines being manu-
factured is a solenoidal delay line built by Federal Telephone and
Radio Corp. and reported by Zimmerman.69 It is the RG-64U
cable and has a delay of 0.042 microsecond per foot and an
attenuation of about 0.14 decibel per foot at 5 megacycles.
Therefore, the attenuation is about 3.3 decibels per microsecond
delay. However, this line is not equalized and causes a decrease
in delay of approximately 0.2 per cent per megacycle in the
5-megacycle range. The number of microsecond pulses which
can be stored in a line of this type must therefore be limited to
about 40 pulses to prevent undue phase distortion. This cable
was designed as a high-impedance cable rather than a delay line;
hence presumably greater delay can be achieved if desired.
A spiral delay line reported by Kallmann, 54 in which various
shapes and sizes of conductors were placed adjacent to the coil in
order to increase its distributed capacity, has a velocity as low
as c/4,300; however, this is attained at the expense of high
attenuation and a narrow bandwidth. It seems reasonable to
expect that velocities of c/ 1,000 might be obtained with a band-
width of 10 to 20 megacycles. This corresponds to a delay of
1 microsecond per foot of line and two to four pulses per foot.
Kallmann has reported considerable work to equalize the phase
shift in delay lines by means of strips of conductors, which are
placed between the spiral winding and the cylindrical conductor
and insulated from both. When these conductors are arranged
correctly, they introduce an equalizing effect which reduces the
variation of phase velocity with frequency over a band of the
order of 5 megacycles. Other methods of improving the delay
characteristic, such as increasing the diameter of the coils and
separating the windings, were also investigated. When the
windings are separated, the line might be considered to be a
TRANSFER MEDIUMS 353
semilumped-parameter line, similar to the lumped-parameter
lines discussed in the next section.
Artificial Transmission Lines with Lumped Parameters. Delay
lines with lumped parameters have been in use for many years
as low-pass filters and artificial lines for laboratory experiments.
A convenient form is the iterative pi or T with inductances in
the series arms and capacity in the shunt legs. Actually the
distinction is unclear between spiral lines with pieces of foil to
increase the shunt capacitance and lines with lumped parameters.
In either case, there is mutual inductance between adjacent turns
and shunt capacities across various groups of series turns. A
series of simple pi networks does not have a flat pass band, but
it has been found that a mutual inductance M between adjacent
inductance elements L, adjusted so that M = 0.1 2L, will equalize
the attenuation and phase shift over the pass band. Lumped-
parameter lines have been built in the laboratory, but they are
rather difficult to duplicate with manufacturing processes.
Brillouin52 estimates that the velocity in a lumped-parameter
line may be reduced to c/10,000, with a bandwidth of about
5 megacycles. This corresponds to a delay of about 10 micro-
seconds per foot or a packing factor of about 20 pulses per foot of
line.
Transmission lines with lumped constants or semilumped
constants may be built with less attenuation per unit delay time
than the continuous-wire lines which have been produced to date.
Semilumped lines can be equalized and probably made suitable
for bandwidths up to 15 or 20 megacycles. Because of their
attenuation, they too are quite limited with regard to the number
of digits which they can store. One of Kallmann's best lines
had a transmission loss of 3 decibels per microsecond at 5 mega-
cycles. This corresponds to a loss of about 6 decibels per digit
at 5 megacycles, so approximately one stage of amplification is
required for every two or three digits stored.
Conclusions. Not enough use has been made of electromag-
netic delay lines in computer applications to prove their depend-
ability, but experience with delay lines in other applications indi-
cates that they should be quite dependable. In systems pres-
ently contemplated they are designated for applications in which
less than 40 to 100 digits are to be stored or where short adjusting
354
PHYSICAL COMPONENTS AND METHODS
delays or pulse shaping are desired. A comparison of the various
types of delay line discussed above is shown in Table 14-3.
Electromagnetic transmission delay lines are being manu-
factured commercially by the Federal Telephone and Radio
Company, General Electric, and the James Millen Company.
Table 14-3
Type of
transmission
medium
1.5- by 3-inch wave-
guide
RG-64U cable
Equalized delay lines
(estimated)
Lumped-parameter. .
Semilumped-param-
eter
Maximum
delay,
micro-
seconds
per foot
0.001
0.042
0.042
1
10
Attenua-
tion,
decibels
per foot
1.2
0.14
0.45
50
Pass
band,
mega-
cycles
450
5
10
10-20
5
20
Maximum
number of
pulses
per foot
0.20
0.08
0.16
2-4
20
Attenua-
tion,
decibels
per pulse
2.5
14-2-8. Deflection-type Cathode -ray -tube Storage. One of
the most promising means for storing digital information is the
acquisition and retention of a charge by an electric capacitor.
In connection with television work and other developments,
methods have been devised for constructing small storage
capacitors fairly cheaply, compactly, and in such a way that
they can be charged and discharged rapidly and simply by means
of a low-inertia electron beam.67 Storage tubes are now being
developed by the Naval Research Laboratory,63,64 by the Servo-
mechanisms Laboratory at MIT,60-62 by the University of
Manchester, England,65 by RCA68-70 and by the Raytheon
Manufacturing Co. There are probably other storage-tube
developments in progress, for some work was carried out during
the Second World War on tubes which might have had applica-
tion to computing equipment, and it is presumed that some of
this work is continuing.
The National Bureau of Standards is conducting experiments
to determine what can be done with standard components,
TRANSFER MEDIUMS 355
confining its interests to storage techniques rather than tube
development.
Dielectric Storage Principle. Storage in these tubes depends
upon electric charges placed at various points on a dielectric
plate. As an example of such a device, a tube shaped like an
ordinary cathode-ray oscilloscope tube might be visualized. The
dielectric plate is placed at the large end of the tube. Means, to
be described later, are furnished whereby regions on the surface
of this plate may be charged to various potentials under the
influence of the cathode ray directed to these regions in con-
junction with various fields introduced at these regions by
additional elements. Storage of many digits is obtained by
charging each of the chosen regions, one for each digit, inde-
pendently of the rest. If a grid with 32 divisions on each side
is chosen as a basic pattern for the charges, then this tube will
store 32 squared, or 1,024, independent digits. The radix of
these digits will depend upon the number of different distinguish-
able potentials which can be introduced to the dielectric plate.
In the utilization of the principles in a manner to be described,
this number is definitely limited to two potentials; for other
utilizations of the same principle it might be increased.
Secondary Emission Characteristics. Figure 14-8 shows, as a
function of target potential, the ratio of the rate at which electrons
are leaving a target spot on a dielectric sheet to the rate at which
electrons in a cathode ray are bombarding this spot. This ratio
takes various values because of capture of electrons by the
dielectric sheet, or target, and because of secondary emission from
the target; these are functions of the field in the tube and of the
energy of the impinging electrons, and these in turn are functions
of the potential of the target relative to the cathode and other
tube elements. Consider, then, a cathode-ray gun bombarding a
secondary emitter at the end of a tube shaped like a conventional
cathode-ray tube. Near the target end of the tube is inserted
some sort of collector element which will catch any electrons
which are drifting in the tube after reflection from the target
and will also catch the secondary electrons emitted randomly
from the target. As ordinate of the curve is plotted the ratio of
the number of electrons received by the collector to the number
of electrons in the cathode ray (for convenience this is called the
effective secondary-emission ratio); as abscissa is plotted the
356
PHYSICAL COMPONENTS AND METHODS
potential of the secondary-emitter target relative to the potential
of the cathode. A qualitative explanation of the shape of this
curve is as follows :
When the secondary-emitter target has a potential just higher
than the cathode potential, electrons arrive with insufficient
energy to knock out an appreciable number of secondary elec-
trons, and the main field between the cathode and the secondary
emitter holds the received electrons at the secondary emitter;
EFFECTIVE
SECONDARY
EMISSION 2
RATIO
POTENTIAL OF SECONDARY EMITTER TARGET
Fig. 14-8. Effective secondary-emission characteristics. The parameter
plotted as ordinate is the number of electrons collected by the screen per
primary electron, i.e., per electron in the cathode beam. This ratio is
plotted as a function of the potential of the target bombarded by the cathode
ray. The number of electrons collected includes both the number due to
secondary emission alone and the number due to electron optical effects
and reflections from the target as well. If 7 2 stands for the secondary-
emission current, I\ for the primary (cathode-beam) current, and Ir for
the effects of reflection, the ratio plotted is (72 + Ir)/I\. This should not
be confused with the conventional plot of the ratio I2/I1, which is the true
secondary-emission ratio.
thus the electrons are captured, and there is a point on the curve
where the ratio is practically zero just above the cathode poten-
tial. When the target is lower in potential than the cathode, the
original cathode beam is turned back by the dielectric and
captured by the collector, giving an effective secondary-emission
ratio of 1. As the target voltage increases, the energy of the
impinging electrons is increased, and they knock out more
secondary electrons. The maximum of the effective secondary-
emission ratio may be well above 1; i.e., many more electrons
may be collected than are received by the target. However, as
the potential of the target increases further, the energy required
TRANSFER MEDIUMS 357
for electrons to escape from it also increases, and the curve may
fall off.
By placing a screen close to the front of the target and main-
taining it at a constant potential, severe and desirable modifica-
tion of the high-potential end of this curve may be achieved.
Here the assumed structure will be an electron gun (as before)
with a comparatively long path to a conductive screen, which
serves as a collector for scattered electrons and through which
practically all the beam electrons pass. Fairly close behind this
screen, the dielectric secondary-emitting target is placed. Fig-
ures 14-9 and 14-10 show how the curve is modified by this screen
when it is at different potentials. The screen has little effect on
the part of the curve corresponding to target potentials much
below the screen potential, but it profoundly affects the higher
potential parts. In Fig. 14-9, the screen serves to catch rejected
electrons in the low-potential part of the curve, but it does not
affect the energy with which the primary beam impinges on the
target and, therefore, does not affect the secondary-emission
characteristics at this point. However, when the potential of
the target is higher than the screen potential, the steep potential
gradient between the target and the screen increases the energy
required for secondary escape from the target, and the secondary-
emission ratio is reduced practically to zero, as shown. The same
effect is illustrated in Fig. 14-10 with the screen potential so
low that the secondary-emission ratio is held at a value below 1
for all target potentials above the cathode potential.
The importance of the unity value for the secondary-emission
ratio is that it separates the region in which the potential of the
target will increase from the regions in which this potential will
decrease when the primary beam impinges on it. When this
ratio is 1, the number of electrons leaving the target equals the
number arriving, and there will be no change in target potential.
When this ratio is greater than 1, the number of electrons leaving
the target is greater than the number arriving ; under this condi-
tion, the target loses negative charge, and its potential increases.
When this ratio is less than 1, the number of electrons arriving
at the target exceeds the number leaving; the target accumulates
negative charge, and its potential decreases. Thus, in Fig. 14-9,
the dielectric target retains its potential if this potential is below
that of the cathode. (Here minor overshoots of the secondary-
358
PHYSICAL COMPONENTS AND METHODS
emission characteristics due to variations in electron energies are
ignored; they simply shift the potentials being discussed here
by an insignificant amount, if the dispersion of energies is small.)
For potentials between the cathode potential and a critical
potential, at which the curve crosses the unity ratio value in an
upward direction, the potential of the target will drop. Thus,
a target potential anywhere between the cathode potential and
the critical potential will decrease under irradiation by the elec-
tron beam until it reaches the cathode potential. Similarly, if
the potential of the target is between the critical value and that
of the screen, the target will increase to the screen potential
EFFECTIVE
SECONDARY
EMISSION
RATIO
CATHODE CRITICAL SCREEN
POTENTIAL POTENTIAL POTENTIAL
REGION OF REGION OF
STATIONARY FALLING
TARGET ! TARGET
POTENTIAL POTENTIAL
/
POTENTIAL OF SECONDARY EMITTER TARGET
Fig. 14-9. Ratio of collected electrons to electrons in cathode ray plotted
as a function of target potential. Screen potential above critical value.
under irradiation ; and if the target is above the screen potential,
it will fall to the potential value of the screen. Thus, there are
only two stable target potentials not lower than the cathode
potential for the configuration indicated in Fig. 14-9; one of
these is the cathode potential, and the other is the screen poten-
tial. In Fig. 14-10, the only stable potential not less than the
cathode potential is the cathode potential itself.
The structure of a tube to fulfill these conditions is such that
the target cannot long maintain a potential below that of the
cathode because of leakage. Actually, the screen itself becomes
a cathode under such conditions, and the effective secondary-
emission ratio becomes just larger than 1, tending to move the
target potential toward the cathode potential; however, the
screen is usually an unproductive cathode, so this effect is not
shown on the curves.
Writing Principles. There are many parameters available
for use to represent digital values by this configuration, and
various choices have been made by different workers. The effect
TRANSFER MEDIUMS 359
desired, as has been stated already, is the ability to charge
discrete regions of the dielectric target independently to potentials
chosen from a set of two or more, and to determine which of the
set of potentials was placed at each region. Inasmuch as the
target is chosen as a nonconductor, the potentials at the different
spots will remain essentially unchanged for some while, and it is
probable that the regeneration of each spot potential will not
require any substantial fraction of operating time of the tube.
The parameters available are (1) potential of the dielectric
target; (2) screen potential; (3) cathode potential.
CATHODE
POTENTIAL
EFFECTIVE
SECONDARY
EMISSION
PATIO
I I
REGION OF REGION OF
STATIONARY FALLING
TARGET TARGET
POTENTIAL POTENTIAL
/ I ^
i SCREEN
POTENTIAL
1
POTENTIAL OF SECONDARY EMITTER TARGET
Fig. 14-10. Ratio of collected electrons to electrons in cathode ray, plotted
as a function of target potential. Screen potential below critical value.
One method of utilizing the secondary-emission characteristics
represented in Fig. 14-9 will now be described. Here the screen
potential and the cathode potential are held fast. The effects of
these restrictions are represented by the curve in Fig. 14-9, with
the cathode potential and the screen potential held constant.
The potential of the dielectric is the variable; its two stable
points, one at the cathode potential and one at the screen poten-
tial, are used to represent the binary digits 0 and 1. One addi-
tional element is added to the tube to change the potential of the
dielectric; it may be a capacitor plate placed outside the tube so
that the secondary-emitting dielectric lies between it and the
screen. Once one of the stable potentials is attained by the
dielectric, this potential will be held while the target is being
irradiated and for a considerable time after irradiation has
ceased. Thus, if the target is at the cathode potential, it will
remain at the cathode potential under bombardment by the
cathode beam. However, the target potential can be increased
momentarily by introducing a strong positive charge on the
360 PHYSICAL COMPONENTS AND METHODS
additional capacitor plate outside the tube. The capacitor
action between this element and the screen will introduce a poten-
tial at each point of the dielectric between them, and if the
potential of the outside plate is made sufficiently high, the
potential of the point on which the electron beam is impinging
will rise to a value greater than the critical potential shown in
Fig. 14-9. If this happens while the secondary emitter is being
bombarded, the potential of the secondary emitter will drift
upward to the screen potential, and it will remain there if the
charge is gradually removed from the outside plate. Thus,
a charge can be placed on the outside plate to force the potential
of the irradiated dielectric from the value corresponding to the
digit 0 to the value corresponding to the digit 1. If the potential
had had this value in the beginning, the added potential resulting
from the charge on the outside plate would have been com-
pensated for by decreased secondary emission as shown in the
curve; in either case, whether 0 or 1 was originally stored, the
final result will be that the digit 1 is stored. In the same way,
a negative charge introduced to the outside plate may be used
to force the dielectric potential to a value below the critical
potential, whether the original potential was at the 1 or 0 level.
When this charge is gradually removed, the potential of the
irradiated dielectric will stabilize at the cathode potential, and
the digit 0 will have been stored. There will be no change in
the information stored at the points of the dielectric which are
not being bombarded by cathode rays during potential changes
introduced by the charges placed on the outside plate, for
although their potential may be forced above or below the critical
potential, there is no change in charge on them during this period,
for no electrons impinge on them and no secondary electrons are
emitted.
A second scheme for storing and changing data involves varia-
tions of screen potential. In this method, the only stable point
used on the secondary-emission curve is the point at the screen
potential in Fig. 14-9, and care is taken never to permit the
potential of the secondary emitter to drop below the critical
potential. Several different potentials can be assumed by the
secondary emitter corresponding to several different screen
potentials. Thus, a screen potential can be chosen and a point
TRANSFER MEDIUMS 361
on the dielectric bombarded. This point will attain the chosen
screen potential.
A third system involves change of cathode potential with the
screen potential held fast. The stable configuration is the
curve of Fig. 14-9 with the digits 0 and 1 recorded at the two
stable points, where the dielectric assumes the cathode and screen
potentials. To charge a spot originally at either of these stable
potentials to the higher stable potential, the cathode potential is
decreased to a value so low that its critical potential falls below
the cathode potential in the stable condition, and then the elec-
tron beam is aimed at the point to be charged. Under these
conditions the potential of the point to be charged is above the
critical potential for this electron beam, and this point takes the
potential equal to the screen potential. After sufficient time,
the cathode potential may be returned to its stable value, and
the potential of the point being bombarded remains at the screen
potential. To charge a spot originally at either of the stable
potentials to the lower stable potential, the cathode potential
is increased to a point below the stable critical potential but so
high that the secondary-emission curve takes the form of Fig.
14-10, rather than that of Fig. 14-9. The cathode ray is then
aimed at the point in question. The potential of this point will
drop to that of the cathode, and if the cathode is gradually
returned to its original stable potential, the potential of the
points of the dielectric will follow.
In the description above, the principal idealization, which is
not entirely valid, lies in assuming that each region of the dielec-
tric can be charged independently of its neighboring regions.
The description of the stable potentials under the curves shown
would be valid for a target if the whole target were held at a
single potential; however, if there are two potentials stored at
different places on the target, it is clear that an infinite gradient
cannot exist between them and that leakage in the target will
produce a boundary region with potentials varying continuously
from one of the stable potentials to the other. The existence of
this boundary region was ignored in the discussion, but its
behavior is of extreme importance. There is further influence
of one region upon another by virtue of the small field generated
by the charges at the various regions.
362 PHYSICAL COMPONENTS AND METHODS
Reading Principles. Several reading principles have been
suggested for use in electronic static storage tubes. Of these,
the most popular seems to be reading by means of the capture of
secondary-emission electrons. This can be brought about in
several ways, particularly for binary storage. The means
chosen for any particular tube depends basically, of course, upon
the choice of the method of using the stable points on the second-
ary-emission curves for storage.
For the first described method of utilizing the secondary-
emission characteristics, the screen and cathode potentials are
held constant at all times. The two stable potentials of the
dielectric, the cathode potential and the screen potential, are
used to store the binary digits 0 and 1. An additional capacitor
plate is provided, and a charge introduced on it will change the
potential of the dielectric. If one point of the dielectric is
irradiated and is at a stable potential, the number of electrons
collected is exactly equal to the number of electrons furnished by
the electron gun. On the other hand, if the potential of the
target is decreased slightly by means of a charge introduced
on the condenser plate, and if the stable potential of the dielectric
before this charge was introduced was the screen potential, the
displacement in potential will increase the secondary-emission
ratio of the dielectric, as shown in Fig. 14-9. Momentarily the
number of electrons collected will increase. Thus, the flow of
current to the collector element will increase under such a dis-
placement of potential if the stable potential was at its higher
value. For the lower stable potential, however, this displace-
ment of potential will have a negligible effect on the secondary-
emission ratio, as shown in Fig. 14-9. Thus, displacement in
this fashion gives rise to two signals which differ depending upon
the original potential of the target ; this gives an adequate reading
system, and fairly good signal-to-noise ratio has been obtained.
For the second storage scheme described, where only the higher
stable potential is used and the value of this potential is varied by
changing the screen potential, a somewhat different reading
system may be used. If only two values are stored, one cor-
responding to screen potential E0, and one corresponding to
screen potential Eh a reading may be made by setting the screen
to a potential between these two values. If this is done, the
characteristics of Fig. 14-9 are still valid. At the time of reading,
TRANSFER MEDIUMS 363
if the higher potential is stored, the target potential is at a point
above the stable point on the curve, and the secondary-emission
ratio is less than 1. On the other hand, if the stored potential
is the lower stable potential, the secondary-emission ratio is
greater than 1. It is to be noted that this reading scheme
destroys the information stored, whereas the scheme described
earlier leaves the stored information intact.
For the third system of storage described above, in which the
cathode potential is varied in order to bring about storage at the
two stable potentials shown in Fig. 14-9, reading can also be
brought about by variation of the cathode potential. The
potential of the cathode is lowered to such an extent that the
previous cathode potential {i.e., the lower stable storage poten-
tial) falls to approximately the position of the minimum value
of the secondary-emission ratio on Fig. 14-9. The screen poten-
tial remains unchanged. When this is done, the secondary-
emission ratio is decreased almost to zero for the lower stable
storage potential, and it remains at approximately 1 for the
higher stable storage potential. This permits reading without
destruction of the stored information.
Other schemes for reading stored information have been sug-
gested. An example is an ingenious scheme tried by Rajchman
in connection with the Selectron, which is described in Sec.
14-2-9. He used anodized aluminum for the dielectric, with a
hole drilled in the aluminum at the center of each of the regions
into which the grids divided it. An anode element was placed
behind this dielectric screen, and the reading principle was based
on the grid action of the dielectric screen itself. With the beam
directed at a region of the screen, the screen functioned as a
blocking grid when at its lower stable potential in this region and
as a passing grid at its higher stable potential. This scheme was
found to operate satisfactorily, with suitable choice of param-
eters, but the use of discrete metallic elements has led to simpler
and more reliable operation, as will be explained later (see page
371).
A number of workers have suggested that continuous radiation
on the dielectric be provided to hold it at a stable potential,
thereby overcoming leakage difficulties. Where stability is
attained in this fashion, patterns have been stored for many
hours without noticeable deterioration.
364 PHYSICAL COMPONENTS AND METHODS
MIT Storage Tube. A number of electrostatic storage tubes
having storage capacities from 256 to 1,024 digits have been
constructed and used successfully at the MIT Servomechanisms
Laboratory. A bank of such tubes will be used as the high-speed
storage system in the Whirlwind I computer.
The MIT tube60-62 has two cathode-ray guns, a high-velocity
gun for use in recording and reading data, and a low-velocity
gun to supply a diffused electron flood for the purpose of main-
taining the charge pattern, or array of stored data.
The storage surface is a mosaic of conducting beryllium,
sputtered on a dielectric surface. There is a collector screen
between the guns and the storage surface. A signal plate
beyond the beryllium storage surface is insulated from it by the
dielectric sheet.
The potentials of the guns and the screen are not varied. The
signal plate is switched between screen potential (ground) and a
positive potential of about 100 volts.
Writing Principle. The two stable conditions corresponding
to the digits 0 and 1 are zero charge and negative charge on the
storage surface. The recording of either one or the other of these
stable conditions upon a particular area on the surface is accom-
plished by pulsing the high-velocity gun with the signal plate at
either ground potential or at positive potential. Regardless of
the potential of the signal plate, the irradiated area on the
storage surface will assume the potential of the collector screen
(ground). However, if the signal plate is at positive potential
at the instant of irradiation, then, when the signal plate potential
is returned to ground, the irradiated area becomes negative
(representing the digit 1).
Holding. During the time when the high-velocity gun is not
being pulsed, the low-velocity holding gun produces a continuous
stream of electrons. If a spot of zero potential on the storage
surface (corresponding to the digit 0) becomes slightly positive,
it will collect electrons from the holding-gun beam until it
returns to collector potential. If the same spot becomes slightly
negative, electrons will be lost from the surface until it again
reaches the collector potential. Hence, the spot at zero potential
is in a stable condition.
A negative spot (corresponding to the digit 1) is stable also.
Since it tends to be at the same potential as the holding-gun
TRANSFER MEDIUMS 365
cathode, electrons will ordinarily be decelerated as they approach
and will arrive with low or zero velocity. If a negative spot
becomes slightly more positive than the holding-gun cathode, the
storage surface will collect electrons faster than they are being
emitted from it and will become more negative.
On the other hand, if the negative spot becomes more negative
than the holding-gun cathode, primary electrons will be reflected.
Because of leakage, the negative spot will gradually become more
positive.
Reading. Reading is accomplished by examining the change
in the voltage of the signal plate when a particular spot on the
storage surface is irradiated by the high-velocity gun. Irradia-
tion of a spot at ground potential (representing a 0) produces no
change and no output. When a negative spot is irradiated,
secondary electrons are given off faster than primary electrons
are striking it; the spot becomes more positive. This effect
produces a positive output signal on the signal plate which is
capacitively coupled to the storage surface.
The NRL Tube. The storage tube developed by Dr. Haeff
at Naval Research Laboratory63'64 resembles a conventional
cathode-ray tube and employs the screen-voltage writing tech-
nique described above. To place a negative charge upon the
target, a large positive pulse is applied to a control grid located
near the electron gun at the same time a negative pulse is applied
to the collector screen. The positive voltage on the control grid
increases the intensity of the beam, and the negative voltage on
the screen decreases the velocity of the stream. Thus, an
intense beam of slow electrons deposits a negative charge on
the dielectric target, reducing its potential to that of the cathode.
In order to place a positive charge upon the target, positive pulses
are simultaneously applied to both control grid and collector
screen. A high-intensity, high-velocity electron beam results
and causes secondary emission from the point on the target being
bombarded. The net flow of electrons away from the target
brings its potential up to that of the screen, and it tends to stay
there after the pulses have been removed.
A diffused holding beam is irradiated over the target to main-
tain the established charge pattern. The potential of the hold-
ing-beam gun is such that positively charged spots are above the
critical potential and negatively charged spots are below the
366 PHYSICAL COMPONENTS AND METHODS
critical potential. The effect of the electron spray from the
holding gun is to hold the negative spots at cathode potential
and the positive spots at screen potential. In order to keep the
velocity of this beam nearly constant, the pulses applied to the
collector screen are also applied to the gun from which the
holding beam emanates. Thus, the relative potential remains
constant.
In a present model of this tube, the same gun is used for reading
and writing. In order to minimize noise caused by modulating
pulses and switching operations during the reading process, the
reading beam is modulated at an intermediate frequency. Since
the output signal from the collector screen is modulated, it can
be passed through a tuned amplifier which rejects the low fre-
quencies, including the noise. The output of the intermediate-
frequency amplifier is rectified and introduced to a video ampli-
fier where l's and O's appear as positive pulses of different
amplitudes. These may be balanced with negative pulses of
such an amplitude that a negative pulse will be received for a
negative spot on the target, and a positive pulse will be received
when a positive spot is probed.
University of Manchester Tube. Another deflection-type
electrostatic storage tube is being developed at the University
of Manchester, England, and has been reported by Williams and
Kilburn.65 Their work has been done on commercial cathode-
ray tubes, which are modified by the addition to the large end of
the envelope of a metallic plate which serves as a signal plate.
The glass and the phosphorescent screen coating become the
dielectric target. In the tube described, the deflection plates,
the internal conductive coating, and the first and third anodes
are all at ground potential; the cathode, the grid, and the focus
electrode are given a negative potential in the order of —2,000
volts. Before an electron beam is initiated, the inside of the
target tends to assume ground potential because of leakage to
the grounded coatings on the inside of the envelope. Since
there is no collector screen, drifting electrons are caught by the
anodes or the deflecting structure, and the secondary-emission
characteristics are similar to those illustrated in Fig. 14-8;
the cathode potential is near the middle of the range in which
the secondary-emission ratio is greater than 1. Thus when a
beam is initiated and aimed at a spot on the screen, there is a net
TRANSFER MEDIUMS
367
flow of electrons away from the spot for a short period of time
until equilibrium conditions are reached again.
In order to understand the method employed for representing
binary digits on the target of this tube, it is necessary to consider
the charge distribution and the charge-time history in more
detail than was required for the tubes previously described. As
electrons leave the spot bombarded, the spot becomes positive
in potential so that the secondary electrons emitted from the
target are attracted back to it by a field which is increasing for a
Fig. 14-11. An electrostatic well. The curve illustrates voltage distribu-
tion along a line in the plane of the tube face. The downward direction is
positive.
short time after the primary beam is initiated. Thus, more and
more electrons return to the target, and equilibrium is reached
when the number escaping the target is equal to the number in
the primary stream. This is the condition of unity secondary-
emission ratio, described earlier. The electrons which leave the
target with higher velocities have time to acquire a velocity
parallel to the face of the target so that some of those which
return lie around the rim of the original spot area. Thus the
potential along a line through the center of the spot which
has been bombarded is illustrated by Fig. 14-11. Such a charge
distribution has been called a well. Experiments have shown
that if the bombardment does not continue for more than 400
microseconds, the target is not affected at distances greater
than a spot diameter from the center of the spot.
3G8
PHYSICAL COMPONENTS AND METHODS
When a spot on a target near the rim of an existing well is
bombarded, there is a tendency for secondary electrons to fill the
original well. The original well is not filled as fast as the second
well is formed, however; hence after a short period of time the
potential along a line through the centers of the holes is as shown
in Fig. 14-12.
Two spots placed side by side on a target will be mutually inde-
pendent if their spacing is more than a critical value, about 1.33
diameters, but they will affect each other if their spacing is less
than this critical distance. Use is made of this phenomenon in
order to make two kinds of distinguishing marks on the target.
Fig. 14-12. Double electrostatic well.
One mark is a full well, which is made by bombarding a single
spot for a short time. The other mark is a well which is modified
by bombarding another spot in the near vicinity of the storage
spot. These marks will be maintained for a few tenths of a
second, depending on surface leakage. Therefore, it is necessary
to read and rewrite the marks continually. Several methods
have been tested for reading and differentiating between marks
of this type. Reading is based on the fact that when an electron
beam is aimed at a full well and initiated, the presence of the
negative cloud of electrons in the primary beam and in the
secondary-electron stream induces an instantaneous flow of
current to the metallic plate on the outside of the tube. This
plate is connected to the input of an amplifier. An output wave
form is obtained which is dependent upon the transient response
of the amplifier to the negative pulse received at the input.
TRANSFER MEDIUMS 369
When a beam is turned on a storage spot where the well has been
modified by the presence of a second well nearby, there is a
redistribution of charge on the face of the tube, which induces a
current in the input circuit of the amplifier, this current being
of opposite polarity to that of the current induced by the electron
cloud. If parameters are adjusted properly, the pulse of positive
polarity induced by the shifting charge may be made large enough
to counterbalance the negative pulse induced by the electron
cloud. Thus the type of mark stored determines the polarity
of pulse received at the plate when the spot is bombarded by an
electron beam.
A regenerative system using a gate and a pulse generator can be
used to renew each mark periodically after it is read. It is
proposed to scan this tube in a manner similar to that used with a
television tube, so that regeneration can be accomplished. In
addition, a modification of this sequence can be made in order to
read or write a digit or line of digits immediately after orders to
do so are generated by the computer. If scanning is from left
to right, the left-hand is modified by the right-hand well when
the double mark is written. When the mark is regenerated, the
right-hand well is modified by the left-hand one momentarily,
but finally as the beam of electrons moves to the second well,
the left-hand well is again modified by the right-hand well.
A space approximately two by three spot diameters (d) on the
target is required to store each mark, so if d = 1 millimeter, a
6-inch tube will store about 600 digits. Improving the focus of
the beam increases the storage capacity as the inverse square of
the spot diameter.
Other Electrostatic Storage Devices. Zworykin and Morton67
have described a type of storage tube in which one electron
beam writes a potential-variation pattern on. one side of a two-
sided mosaic while another electron beam scans the other side
to release electrons, which produce a variable-current signal in a
collector anode. Such a tube might be modified to include an
electron multiplier for amplifying the collected current. A
storage tube called the Krawinkel66 was devised in Germany
during the war. Apparently it uses an Iconoscope type of
mosaic for the storage medium.
That the ultimate storage potentialities of such devices may be
far in excess of 4,096 digits per tube is suggested by the present
370 PHYSICAL COMPONENTS AND METHODS
commercial-television picture standards. The RMA standard
picture contains some 360,000 elements (525 lines, 3 by 4 aspect
ratio), and satisfactory experimental pictures have had over a
million elements. Although the elements are by no means com-
pletely resolved, these figures indicate what may be expected in
future refinements of electronic image and storage devices.
14-2-9. The Selectron. An electrostatic storage tube called
the Selectron, the latest model of which has been designated
SE256, is at the time of this writing in an advanced stage of
development at the RCA Laboratories in Princeton, N.J.63-65
This tube has a storage capacity of 256 binary digits. It is
3 inches in diameter, 7 inches long, and utilizes a 40-lead stem.
Access time to any element is 20 microseconds and is independent
of all previous accesses to other elements.
A number of these tubes have been made already for experi-
mental use; uniformity of selection and control characteristics
have been observed in all the tubes.
Principle of Operation. The Selectron utilizes the fact that an
insulated secondary-electron emitter can be made to "float" at
either of two stable potentials under certain conditions of
primary-electron bombardment and secondary-electron collec-
tion. Secondary electrons are received by a collector electrode
placed near the insulated secondary emitter in a manner similar
to the collector screen of the deflection-type storage tubes.
While a surface element is being irradiated, its potential is locked
at one of these stable values.
As originally conceived, the Selectron consisted essentially of a
cylindrical dielectric target with the cathode at its axis and the
electron stream flowing radially from the cathode. There was a
grid, made of 64 vertical metallic bars and 65 circular horizontal
metallic rings, just inside the target. The 64 2, or 4,096, windows
in this cylindrical grid divided the target into 4,096 discrete
cells. The size of the windows was such that electrons could
pass through a window only when the four metallic conductors
bounding that window were all more positive than some particu-
lar voltage.
The physical form of the tube has been altered materially
since it was first conceived. As a result of Rajchman's experi-
mental work, directed primarily toward improvements in relia-
bility, he has adopted a flat target (in place of the original
TRANSFER MEDIUMS 371
cylindrical form) and eight elongated cathodes. In the SE256
there are two parallel target planes on opposite sides of the plane
of the cathodes. A detailed description of the engineering
features of this tube has been published.65
Regardless of the physical form, the operation of the Selectron
depends upon the effects obtained by energizing the four con-
ductors bounding a particular window. One of its greatest
advantages is derived from the fact that the means for directing
electrons into a selected cell does not depend upon the accurate
reproduction of deflection voltages.
In the tube's quiescent operating state all the selecting bars
are at the potential of the cathodes (zero). Electrons emitted
from the cathodes are focused into 256 beams by the combined
action of these bars (at zero potential) and a collector plate which
is held at some positive potential such as 180 volts. These beams
are focused on 256 nickel-plated steel eyelets, which are floating
electrically and are fixed in mica sheets. There are only two
stable voltage conditions at which an eyelet can be held, because
of the secondary-emission phenomena. Every one of the 256
eyelets will remain in one or the other of these states so long as the
tube is in its quiescent operating state.
To write into a particular element, current is interrupted every-
where except to it. Then a signal is applied to a perforated
metal plate, called the writing plate, which is located (with respect
to the cathodes) beyond the mica plate in which the eyelets are
set. This plate is capacitively coupled to all the eyelets. The
voltage on the particular eyelet will be left at either one or the
other of its two stable levels depending upon the presence or
absence of an additional pulse on the selecting bars. This pulse
cuts off the current to the selected eyelet during the decay of a
pulse applied to the writing plate. (This pulse is positive for
either polarity writing.) The eyelet will be left at the higher
level if only a single positive pulse is applied and at the lower
level if the initial positive pulse is followed by an additional pulse
to one or more of the four bars bounding its particular window.
Reading is effected by obtaining an indication as to whether
current is passing through the central hole in the eyelet. When
an eyelet is positive, some of the electrons directed at it go
through the hole. When it is negative, electrons are repelled and
do not go through it. An auxiliary electrode, called the reading
372 PHYSICAL COMPONENTS AND METHODS
plate, normally biased negatively, cuts the potentially large cur-
rent from all or a large proportion of the eyelets to the output
electrode. To read, an element is selected, then the reading
electrode is pulsed positively. There is, or there is not, a result-
ing pulse of current in the output electrode, depending on the
potential of the interrogated eyelet. The output electrode is a
set of wires well shielded from capacity pickup by a Faraday
cage, which also serves to support a fluorescent screen for moni-
toring purposes.
The Selectron Aiming Principle. It is of interest to note that
the aiming method described is not the only one which might
be applied to a system of bars and windows. Therefore, a more
general discussion of the Selectron aiming principle is included
here, as an appendix to the foregoing material. Consider a
circular picket fence with 2n pickets (n integral and at least 2)
and 2n spaces between pickets. Let these pickets be numbered
in their cyclic order from 0 to 2n — 1 with a number i. Assign
to the space following a picket the same number assigned to a
picket.
Now choose two positive integers p and q, such that
p + q = n
Assign to each even-numbered picket a number j (varying from
picket to picket) with 0 < j < 2P — 1 ; to each odd-numbered
picket, assign a number k with 0 < k < 2q — 1. It is clear
that for any given space between two pickets there are 2P ways
the adjacent even-numbered picket can be labeled (because
there are 2P different numbers j); and 2q ways the adjacent odd-
numbered picket can be labeled (because there are 2q different
numbers k). Then, for any space there are
2p X 2q = 2p+q = 2n
ways the two adjacent pickets can be labeled. This is exactly
the number of spaces available to be labeled. The Selectron
principle of aiming is based on a labeling scheme in which every
possible labeling of pairs of successive pickets occurs exactly
once.
One way in which this can be done is as follows: First, let us
assign the numbers 0 through 2P — 1 cyclically to the pickets
TRANSFER MEDIUMS 373
with even numbers; i.e., assign numbers j to the pickets with
even numbers i as shown in Table 14-4.
Table 14-4
* 3
0 0
2 1
4 2
2 X 2p - 2 2p -
2X2" 0
2 X 2p + 2 1
4 X 2? - 2 2* -
4X2" 0
6 X 2" - 2 2p - 1
6X2" 0
2n - 2 = 2* X 2p - 2 2p - 1
It is seen that for each j cycle the number i increases by
2 X 2P = 2P+1. Then, the number of j cycles must be
_ Og-1
2P+1 ~ L
To the odd-numbered pickets appearing in each of these cycles
let us assign two values of k alternately, using a different pair of
values in each j cycle. In the first j cycle the values k = 0 and
k = 1 are assigned alternately ; in the second the values k = 2 and
k = 3, etc., until the (2«-1)th, which has the values k = 2q — 2
and k = 2q — 1 assigned alternately. The whole assignment is
given in Table 14-5, a being the j-cycle number, from 0 to
2<r-i - 1.
It is clear that this scheme has the desired property. Indeed,
any chosen value of k occurs in exactly one j cycle, and at some
point in this cycle it is adjacent to each j value. Thus, given
374
PHYSICAL COMPONENTS AND METHODS
any admissible j value and any admissible k value, there is one space
with these labels on its pickets.
Table 14-5
a
i
j
k
0
0
0
0
1
—
0
0
2
1
—
0
3
—
1
0
4
2
—
0
5
—
0
0
6
3
—
0
7
1
0
2 X 2^ - 2
2" - 1
0
2 X 2* - 1
—
1
2X2"
0
—
2 X 2*> + 1
—
2
2 X*2" + 2
1
—
2 X 2" + 3
—
3
2 X 2" + 4
2
—
2 X 2" + 5
2
2«-i _ i
2n - 4
2^-2
2«-i - 1
2" - 3
—
2i - 2
29-i _ i
2* - 2
2" - 1
—
29-i _ i
2" - 1
—
2i - 1
14-3. Transfer in Space
It is evident that data must be transferred from one unit in a
computer to another while a problem is being solved. In elec-
tronic digital computers, data are transformed into electrical
pulses which are transferred along busses and cables and are
initiated by the action of buffers and gates. All of these four
components are discussed in previous sections and are con-
sidered here only to the extent that the problem of transferring
data in space affects the requirements which must be met in
their design.
TRANSFER MEDIUMS 375
14-3-1. General Requirements. The operational require-
ments for transferring pulses in a computer are:
1. Freedom from transfer failure due to:
a. Undesired inductively or capacitively coupled signals.
b. Cross modulation.
c. Spurious noise.
d. Variations in components caused by aging, atmospheric
• conditions, or from any other predictable cause.
2. Limited phase, frequency, and amplitude distortion.
3. A minimum of time delay.
4. Limited reflection of pulses caused by discontinuities and
mismatches.
In addition, the devices employed should be economical and
easy to service.
The designers of the ENIAC have taken adequate precautions
to observe requirement 1. The average signal level is between
25 and 50 volts. A normal variation in component characteris-
tics is not harmful. To guard against high cross-coupling volt-
ages, the impedance levels of the transmission lines have been
kept low, and connections between units of the machine have
been made through shielded microphone cables. The precau-
tions to be observed in tube and wiring layout inside units are
similar to those of video amplifier design. 67'71*72'75,76 Compo-
nents should be arranged to minimize lead length, and critical
leads should be spaced apart or transposed frequently. Imped-
ance levels should be kept as low as possible. In the ENIAC,
circuits have been designed so that wide variations in parameters,
and particularly vacuum-tube variations, do not interfere with
the positive, dependable operation of the unit.
Requirements 2 and 3 are familiar to designers of radio-fre-
quency amplifiers and transmission networks and are, essentially,
the problems discussed in Sec. 14-2-7 regarding time delay and
distortion in transmission lines. Distortion in the transfer
circuits must be limited sufficiently so that any combination of
pulses is perfectly distinguishable at the receiving unit. Time
delay, on the other hand, is somewhat less objectionable than
distortion since it can be compensated by adding equivalent
delays in other circuits in the unit. However, in the interest of
simplicity, it is well to eliminate the necessity for corrective-
376
PHYSICAL COMPONENTS AND METHODS
delay circuits wherever possible. In circuits which require a
high impedance level, shunt capacity should be minimized, and
if circuits are frequency-selective within the frequency range of
interest, frequency compensation may be required. A familiar
example is that of inductive compensation in the plate load of a
vacuum-tube amplifier, as illustrated in Fig. 14-13. The high-
frequency components of a pulse are partially shunted by
capacitor C, which represents the effective sum of all the capaci-
ties in parallel with the plate resistor. A properly chosen* value
INPUT
COMPENSATED
UN-COMPENSATED
'OUT ""^strat"
.42 R2C
DAMPING RESISTANCE TO
Fig. 14-13.
B+ PREVENT OVERSHOOT
Inductive compensation of plate capacitance.
of inductance L will compensate for some of this shunting by
holding the plate load impedance to a constant value for a greater
portion of the frequency range. More sophisticated forms
of phase and frequency compensation are discussed in the
literature.71
Another source of frequency discrimination is in the interstage
coupling capacitors, which affect the low-frequency response of
the units. To overcome this difficulty, many of the circuits in
the ENIAC are direct-coupled. Direct coupling introduces
another difficulty, however. In the ENIAC, largely because of
the direct coupling between stages, there are 78 different d-c
voltages which must be held constant within a few per cent. In
some video amplifiers, d-c restoring circuits are employed to
avoid the selective characteristics of a-c coupling without the
necessary complications of d-c coupling. Undoubtedly these
circuits will find use in future high-speed computers.
In the ENIAC it was not necessary to terminate transmission
cables in their characteristic impedances in order to reduce
reflections, but as computers using shorter pulses are designed,
TRANSFER MEDIUMS
377
it becomes necessary to satisfy this requirement. Moreover, at
the time of this writing, it has been found desirable to terminate
the lines in the ENIAC in impedance-matching load boxes for
the sake of greater reliability, although the machine will operate
without them.
14-3-2. Gates and Buffers. Gates and buffers have been
discussed in Chap. 4, and as such the multicontrol grid, the
parallel load, and the crystal gates were described.73 In applica-
>OUT
1 -(G9f
Fig. 14-14. Multiple-gate circuit.
tions where it is necessary to use gating or buffer circuits having
a multiplicity of inputs, the accumulated shunt capacity at the
plate circuits of a number of triodes connected in parallel limits
the leading-edge rise time of pulses to be passed. A circuit
known as the christmas-tree circuit and illustrated in Fig. 14-14
is useful in reducing this output capacity. A block diagram of
the circuit resembles a tournament play-off diagram. For
example, circuit a consists of two-input gates for a minimum of
capacity loading. A larger number of elements can be used in
parallel at the expense of circuit response and/or gain. A
similar circuit such as Fig. 14-15 might also be devised using
multiple-grid tubes.
A miniature pentode tube which is suitable for use as a gate is
the 6AS6 manufactured by Western Electric. The control grid
378 PHYSICAL COMPONENTS AND METHODS
and the suppressor grid are used as the independent control
elements. Some combinations of electrode voltages yield a
suppressor-grid transconductance which is almost half that of
the control grid and nearly equal cutoff voltages for the two
grids. In most pentodes, the control-grid transconductance
is many times the suppressor-grid transconductance. It does
not seem feasible to increase the number of control grids beyond
two, because in order to make grids of nearly equal sensitivity,
it is necessary to decrease the sensitivity of all grids to that of
the one which is spaced farthest from the cathode. The result
is a tube of very low transconductance for each control grid.
^&
IN
i^&
?:4H-
t^&n
G6
G7 ► OUT
Fig. 14-15. Multiple-gate circuit.
A study has been made at Harvard74 of multiple-grid tubes for
use as multiple-input gates. A fundamental difference in require-
ments has been established between gates which are to handle
large voltage pulses and those which receive small voltage
pulses. For the former case, the grid is driven from anode cutoff
to anode saturation by the pulses. Sharp cutoff with high
average transconductance is desired in order that output pulses
of steep wave front may be obtained. In multiple gates which
receive small input pulses, the ratio between on and off trans-
conductance should be large. When a large number of gate
tubes are used with a common plate load resistor, there is a
tendency for the spurious noise signals on grids biased to cutoff
to add up to an amount comparable to an output pulse. For
this reason a high ratio between on and off transconductance is
desired. A diode gate is shown in Fig. 14-16 which is a slight
variation of the one illustrated in Fig. 4-26 and described on
page 41. Resistor Ri is much greater than R2, with the result
that input pulses are effectively shorted through one diode or
TRANSFER MEDIUMS 379
the other, depending upon pulse polarity. Application to R2
of a gate voltage of the polarity indicated places a bias on the
two diodes so that input pulses are not shunted and appear at
the output. Actually a small voltage gets through this type of
gate whether it is opened or not, and the ratio of voltage in the
on and off conditions is limited to the ratio of backward to
forward resistance through the crystal rectifiers.
High-speed Coincidence Devices. A variation of the Rossi
circuit described in Sec. 4-3-3 and illustrated in Fig. 4-16 on
IN r-4 r-4 OUT
Fig. 14-16. Diode gate.
page 38 has been developed in connection with nuclear experi-
mentation.77 This reference is noteworthy in this text because
it describes by far the fastest use of a coincidence or and circuit
known to the authors. The resolving power reported is of the
order of 10-8 to 10-9 seconds. In this device a tube equivalent
to the Type 6AC7, having high mutual conductance and low
capacity, is used.
A method of detecting coincidences of very short duration and
observing them on a cathode-ray screen also has been devised
and reported.79
REFERENCES
Relay Storage
1. M.I.T. Radiation Laboratory Staff, Relay Data Including Shock and
Vibration Measurements, Radiation Laboratory Report 747 (Aug. 1, 1945).
2. Rosslyn, J., Electric Relays (Chemical Publishing Company, Inc.,
Brooklyn, 1921).
Punched-tape Storage
3. Alexander, Samuel N., Input and Output Devices for Electronic Digital
Calculating Machinery, Annals of the Computation Laboratory of Harvard
University, Vol. XVI, pp. 248-253 (1948).
380 PHYSICAL COMPONENTS AND METHODS
4. Lake, Ross A., Teletype Reperforator Transmitter for Automatic
Switching Systems, Bell Laboratories Record, Vol. 26, No. 3, pp. 106-110
(March, 1948).
5. Miller, Frederick G., Application of Printing Telegraph Equipment to
Large-Scale Calculating Machinery, Annals of the Computation Labora-
tory of Harvard University, Vol. XVI, pp. 213-222 (1948).
6. Sparks, S., and R. G. Kreer, Tape Relay System for Radio-Telegraph
Operation, RCA Review, Vol. 8, No. 3, pp. 393-426 (September, 1947).
7. Williams, S. B., Bell Telephone Laboratories Relay Computing System,
Annals of the Computation Laboratory of Harvard University, Vol. XVI,
pp. 41-68 (1948).
Photographic Storage
8. Carlson, F. E., and D. A. Prichard, Flash Tubes, Illumination Engineer-
ing, Vol. 42, pp. 235-248 (February, 1947).
9. Mees, C. E. Kenneth, The Theory of the Photographic Process (The
Macmillan Company, New York, 1942), pp. 838.
10. O'Neal, R. D., Photographic Methods for Handling Input and Output
Data, Annals of the Computation Laboratory of Harvard University, Vol.
XVI, pp. 260-266 (1948).
11. O'Neal, R. D., and A. W. Tyler, Photographic Digital Reader- Recorder,
Progress Report 1 (Eastman Kodak Co., Rochester, N.Y., 1948).
12. Tyler, A. W., Optical and Photographic Storage Techniques, Annals of
the Computation Laboratory of Harvard University, Vol. XVI, pp. 146-150
(1948).
Magnetic Storage
13. Aldous, D. W., A Bibliography of Magnetic Recording, Electronic
Engineering, Vol. 19, pp. 390-391 (December, 1947).
14. Barrett, A. E., and C. J. F. Tweed, Some Aspects of Magnetic Record-
ing, Journal of the Institution of Electrical Engineers (London), Vol. 82,
No. 495, pp. 265-285 (March, 1938).
15* Begun, S. J., Recent Developments in Magnetic Sound Recording,
Journal of the Society of Motion Picture Engineers, Vol. 48, pp. 1-13
(1947).
16. Begun, S. J., Magnetic Recording and Some of Its Applications in
the Broadcast Field, Proceedings of the Institute of Radio Engineers,
Vol. 29, No. 8, pp. 423-433 (August, 1941).
17. Begun, S. J., Magnetic Recording (Murray Hill Books, Inc., New York,
1949).
18. Boenning, W. R., Magnetic Recording and Reproduction of Pulses (Engi-
neering Research Associates, Inc., Arlington, Va., 1947).
19. Bozorth, R. M., Magnetism, Reviews of Modern Physics, Vol. 29, No. 1,
pp. 29-86 (January, 1947).
20. Camras, M., Recent Developments in Magnetic Recording for Motion
Picture Film, Journal of the Acoustical Society of America, Vol. 19, pp.
322-325 (March, 1947).
21. Camras, M., Theoretical Response from a Magnetic-Wire Record,
TRANSFER MEDIUMS 381
Proceedings of the Institute of Radio Engineers, Vol. 34, pp. 597-602
(August, 1946).
22. Cohen, A. A., and W. R. Keye, Selective Alteration of Digital Data in a
Magnetic Drum Computer Memory, unpublished (P^ngineering Research
Associates, Inc., St. Paul, Minn., 1948.) Pamphlet.
23. Coombs, J. M., Storage of Numbers on Magnetic Tape (Engineering
Research Associates, Inc., St. Paul, Minn., 1947). Pamphlet.
24. Hansel, C. W., et at., Report on the Magnetophone, OTS Report PB 1346
(1945).
25. Hickman, C. N., Sound Recording on Magnetic Tape, Bell System
Technical Journal, Vol. 16, pp. 165-177 (1937).
26. Holmes, L. C, and D. L. Clark, Supersonic Bias for Magnetic Recording,
Electronics, Vol. 18, pp. 126-136 (July, 1945).
27. Korhone, E. D., L. W. Reid, and W. L. Anderson, Preparation and
Characteristics of Magnetic Recording Surfaces, pamphlet prepared by
Engineering Research Associates, Inc., under Bureau of Ships contract
NObsr 42001 (Jan. 7, 1949).
28. Kornei, Otto, Survey of Magnetic Storage, Annals of the Computation
Laboratory of Harvard University, Vol. XVI, pp. 223-237 (1948).
29. Long, T. H., and G. D. McMullen, B-H Curve Tracer for Magnetic
Recording Wire, Transactions of the American Institute of Electrical
Engineers, Vol. 65, pp. 146-149 (1946).
30. Long, T. H., A New Wire Recorder Head Design, Transactions of the
American Institute of Electrical Engineers, Vol. 65, pp. 216-219 (1946).
31. Massachusetts Institute of Technology, Staff of the Department of
Electrical Engineering, Magnetic Circuits and Transformers (John Wiley
& Sons, Inc., New York, 1943), pp. 3-40.
32. Menard, J. Z., High Frequency Magnetophone Magnetic Sound Recorders,
OTS Report PB 12659 (1946).
33. Moore, B. L., Magnetic and Phosphor Coated Discs in Proceedings of
a Symposium on Large-Scale Digital Calculating Machinery (Harvard
University Press, Cambridge, Mass., 1948), pp. 130-132.
34. Sears, A. W., Wire Recorder Wow, Journal of the Acoustical Society of
America, Vol. 19, No. 1, pp. 172-178 (January, 1947).
35. Selby, M. C, Investigation of Magnetic Tape Recorders, Electronics,
Vol. 17, pp. 133-135 (May, 1944).
36. Shaper, H. B., FM Magnetic Tape Transient Recorder, Proceedings
of the Institute of Radio Engineers, Vol. 33, pp. 753-760 (November,
1945).
37. Sheppard, C. B., Transfer between External and Internal Memory
Annals of the Computation Laboratory of Harvard University, Vol. XVI,
pp. 267-273 (1948).
38. Toomim, H., and D. Wildfeuer, Mechanism of Supersonic Frequencies
as Applied to Magnetic Recording, Proceedings of the Institute of Radio
Engineers, Vol. 32, pp. 664-668 (November, 1944).
39. Wooldridge, D. E., Signal and Noise Levels in Magnetic Tape Record-
ing, Transactions of the American Institute of Electrical Engineers, Vol.
65, pp. 343-352 (1946).
382 PHYSICAL COMPONENTS AND METHODS
Phosphor Storage
40. du Pont, E. I., de Nemours & Co., Inc., Bibliography — Phosphorescence
and Phosphorescent Sulfides, special report prepared in connection with
research under Contract No. W3G-039-SC-32256 (Feb. 16, 1948).
41. Moore, Benjamin L., Magnetic and Phosphor Coated Discs, Annals of
the Computation Laboratory of Harvard University, Vol. XVI, pp. 130-
132 (1948).
Sonic-delay-line Storage
42. Arenberg, D. L., Ultrasonic Solid Delay Lines, Journal of the Acoustical
Society of America, Vol. 20, pp. 1-26 (January, 1948).
43. Hunting, H. B., A. G. Emslies, and V. W. Hughes, Ultrasonic Delay
Lines, Parts I and II, Journal of the Franklin Institute, Vol. 245, pp. 1-24,
101-115 (January and February, 1948).
44. Knott, G. C, Reflexion and Refraction of Elastic Waves with Seis-
mological Application, Philosophical Magazine, Vol. 48, Series 5, pp.
64-97 (July, 1899).
45. Macelwane and Sohon, Introduction to Theoretical Seismology (John
Wiley & Sons, Inc., New York, 1932, 1936). 2 vols.
46. Metz, F. A., Jr., and W. M. A. Andersen, Improved Ultrasonic Delay
Lines, Electronics, Vol. 22, No. 7, pp. 96-100 (July, 1949).
47. Ridenour, L. N., Radar System Engineering (McGraw-Hill Book Com-
pany, Inc., New York, 1947), pp. 667-677.
48. Ringo, G. R., J. W. Fitzgerald, and B. G. Hurdle, Propagation of
U.H.F. Sound in Mercury, Physical Review, Vol. 72, No. 1, pp. 87-88
(July, 1947).
49. Sharpless, T. Kite, Mercury Delay Lines as a Memory Unit, Annals of
the Computation Laboratory of Harvard University, Vol. XVI, pp. 103-109
(1948).
50. Sharpless, T. Kite, Design of Mercury Delay Lines, Electronics, Vol. 20,
No. 11, pp. 134-138 (November, 1947).
Electromagnetic-delay-line Storage
51. Blewett, J. P., and J. H. Rubel, Video Delay Lines, Proceedings of the
Institute of Radio Engineers, Vol. 35, No. 12, pp. 1580-1584 (December,
1947).
52. Brillouin, Leon N., Electromagnetic Delay Lines, Annals of the Com-
putation Laboratory of Harvard University, Vol. XVI, pp. 110-124 (1948).
53. Kallmann, Heinz E., High-Impedance Cable, Proceedings of the Institute
of Radio Engineers, Vol. 34, No. 6, pp. 348-351 (June, 1946).
54. Kallmann, Heinz E., Equalized Delay Lines, Proceedings of the Institute
of Radio Engineers, Vol. 34, No. 9, pp. 646-657 (September, 1946).
55. Montgomery, Dicke, and Purcell, Principles of Microwave Circuits,
Radiation Laboratory Series (McGraw-Hill Book Company, Inc., New
York, 1948), pp. 203-206.
56. Rudenberg, Rheinhold, Electromagnetic Waves in Transformer Coils
Treated by Maxwell's Equations, Journal of Applied Physics, Vol. XII,
pp. 219-229 (March, 1941).
TRANSFER MEDIUMS 383
57. Slater, J. C, Microwave Transmission (McGraw-Hill Book Company,
Inc., New York, 1942).
58. Trevor, J. B., Jr., Artificial Delay Line Design, Electronics, Vol. 18,
No. 6, p. 135 (June, 1945).
59. Zimmerman, K. H., Spiral Delay Lines, Electrical Communications,
Vol. 23, No. 3, pp. 327-328 (September, 1946).
Electrostatic Storage
60. Forrester, J. W., Electrostatic Storage Tubes, MIT Servomechanisms
Laboratory Report No. 6845-R-110 (Jan. 13, 1947).
61. Forrester, J. W., Electrostatic Storage Tubes for Digital Computers and
other Information-Processing Systems, MIT Servomechanisms Labora-
tory Report No. R-153 (Jan. 26, 1949).
62. Forrester, J. W., High-Speed Electrostatic Storage, Annals of the Com-
putation Laboratory of Harvard University, Vol. XVI, pp. 125-129 (1948).
63. Haeff, A. V., The Memory Tube and Its Application to Electronic
Computation, Mathematical Tables and Other Aids to Computation, Vol.
Ill, No. 24, pp. 281-286 (October, 1948).
64. Haeff, A. V., A Memory Tube, Electronics, Vol. 20, No. 9, pp. 80-83
(September, 1947).
65. Williams, F. C, and T. Kilburn, A Storage System for Use with Binary-
Digital Computing Machines, Proceedings of the Institution of Electrical
Engineers, Part III, pp. 81-100 (March, 1949).
66. Unsigned, An Image Storage Tube, Electronics, Vol. 21, No. 5, pp.
132-134 (May, 1948).
67. Zworykin, V. K., and G. A. Morton, Television (John Wiley & Sons,
Inc., New York, 1940), p. 326.
The Selectron
68. Rajchman, Jan A., The Selectron — A Tube for Selective Electrostatic
Storage, Annals of the Computation Laboratory of Harvard University,
Vol. XVI, pp. 133-135 (1948).
69. Rajchman, Jan A., The Selectron — A Tube for Selective Electrostatic
Storage, Mathematical Tables and Other Aids to Computation, Vol. 2,
pp. 359-361 (October, 1947).
70. Rajchman, Jan A., The Selectron — A Tube for Selective Electrostatic
Storage, RCA Laboratories Division News, Vol. 6, No. 2 (August, 1949).
A paper presented at the IRE Tube Conference at Princeton University
in June, 1949, and also at the Symposium on Large-Scale Digital Com-
puting Machinery at Harvard University in September, 1949.
Transfer in Space
71. Bode, Hendrick W., Network Analysis and Feedback Amplifier Design
(D. Van Nostrand Company, Inc., New York, 1945).
72. Hansen, W. W., Maximum Gain Bandwidth Product in Amplifiers,
Journal of Applied Physics, Vol. 16, pp. 528-534 (September, 1945).
73. Page, C. II., Digital Computer Switching Circuits, Electronics, Vol. 21,
No. 9, pp. 110-118 (September, 1948).
384 PHYSICAL COMPONENTS AND METHODS
74. Rubinoff, Morris, An Input Device Using Multiple Gates, Annals of the
Computation Laboratory of Harvard University, Vol. XVI, pp. 254-259
(1948).
75. Terman, F. E., Radio Engineering (McGraw-Hill Book Company,
Inc., New York, 1947).
76. Wheeler, H. A., Wide Band Amplifiers For Television, Proceedings of the
Institute of Radio Engineers, Vol. 27, pp. 429-438 (July, 1939).
Coincidence Circuits
77. Bay, Z., and G. Papp, Coincidence Device of 10-8 — 10~9 Second
Resolving Power, Review of Scientific Instruments, Vol. 19, No. 9, pp.
565-567 (September, 1948).
78. Dickie, R. H., A High Speed Coincidence Circuit, Review of Scientific
Instruments, Vol. 18, pp. 907-914 (December, 1947).
79. Hofstadter, R., and J. Mclntyre, Note on the Detection of Coincidences
and Short Time Intervals, Review of Scientific Instruments, Vol. 21, No.
1, pp. 52-53 (January, 1950).
CHAPTER 15
DATA-CONVERSION EQUIPMENT
15-1. Introduction
The essence of the computing problem may be said to be the
expedient handling of data from origin to final state. However,
the steps between the original sensing of values and their final
presentation after a calculation are sometimes complex and may
require considerable time. Moreover, it may be desirable to
accept original data in one form, say as decimal digits, perform
computations on these data expressed in another form, say as
binary digits, and produce results in still a different form, say
as graphs.
Let us consider all the steps in the conversion of data from
their primary state into an appropriate form for output from a
computer.
The sources of data which are suitable for automatic com-
puting and the channels through which the data may flow to the
computer are highly diverse. For example, machines used by
the Bureau of the Census handle data which were passed by word
of mouth to a census taker and jotted down by him in a note-
book. The data for a Fourier analysis of a complex wave form
may come from an electromechanical pickup mounted on an
aircraft engine. Number-theory problems often originate in a
mathematician's mind.
Data may accumulate rather slowly from a number of different
sources, as in the census example, in which case the data must be
stored and transported to a central location. Data may emanate
from one source and accumulate rapidly, as in the engine-vibra-
tion example. Here the computations may be performed at the
time and place where the data are being sensed, and intermediate
storage of data may be avoided. The latter arrangement has
been termed on-line operation.
It may be desirable to convert the data from analog form to
digital form, or vice versa. For example, it may be necessary
385
38G PHYSICAL COMPONENTS AND METHODS
to use as one of the problem inputs the instantaneous value, at
1-second intervals, of an output voltage which varies with time.
The instantaneous values of this voltage, appearing as physical
voltages and not as numbers of volts, are analog data. Measuring
a physical quantity and expressing it as a number (of volts,
inches, degrees, etc.) constitute conversion from analog to
digital form. Analog computers operate directly on analog
data; digital computers operate on numbers, as was explained in
Sec. 11-1.
When data are introduced into a high-speed machine, it may
be desirable to enter them at a faster rate than operators can
handle. Therefore, speed-changing devices may be required to
introduce data rapidly. Likewise, computed results may be
produced more rapidly than the output medium can assimilate
them. In this case, the results must accumulate in some inter-
mediate form until they can be written in final form. Finally,
when data are written, they should be in a form which will be
convenient for the user.
15-2. Analog -to -digital Converters
An analog-to-digital converter is a device which accepts
instantaneous values of continuously variable quantities and
expresses them in discrete numerical form.
15-2-1. Elementary Types. An example of an analog-to-
digital converter is the crystal-controlled pulse generator and
associated ring counter of Sec. 3-6, which measures and expresses
time intervals in discrete numbers of electrical pulses.
Another example is a device for converting speed of rotation to
digital form A cam-operated electrical contactor, fastened to a
revolving shaft, opens and closes its contact N times for each
shaft rotation, N being the number of raised segments on the
cam. Incidentally, this converter has the disadvantage that
positive and negative directions of rotation are represented in
the same manner, and there is no zero reference. In other
words, it counts modulo N but not radix N.
15-2-2. Meters and Counters. In the familiar watt-hour
meter2 there is a set of gears with a ten-to-one reduction ratio, a
pointer, and a dial numbered from 0 to 9 for each decimal digit
to be registered. This device is a measuring instrument, as
distinguished from a counter. The dials rotate smoothly, at a
DATA-CONVERSION EQUIPMENT
387
rate proportional to the instantaneous power usage; the device
measures the time integral of power usage. At regular intervals
the meter reader looks at the dials and assigns a discrete value to
each dial setting. In assigning discrete values to these settings,
he is performing a conversion of data from analog to digital form.
In fact, the meter reader himself satisfies the definition stated in
Sec. 15-2.
Meters (which yield analog data) may be distinguished from
counters (which yield digital data) on this basis: a counter is
arbitrarily precise in its representation of a quantity in digital
2 TEETH
INPUT
STRIPPED W
GEAR
DRIVE
Fig. 15-1,
DIAL
DETENT MECHANISM
Stripped-gear counter.
form, and no particular skill is required to read it; on the other
hand, some skill is required to read a meter, because the meter
measures and expresses a quantity, or, at least, the last digit of
its measured value, in analog form. The higher the degree of
precision required in the expression of a particular meter reading,
the greater the observer's skill must be and the less likely two
different observers are to read identical digital values from the
same dial or scale and pointer configurations.
An example of a typical rotation counter is shown in Fig. 15-1.
This counter has numbered dials which move in discrete steps
from one digit to the next. This counter employs a driving
pinion connected to an input shaft stripped of all but n/r of its
teeth, where n is the original number of teeth and r is the radix
of the number system being used. The stripped pinion drives a
gear having n teeth, possibly through an idler gear, and advances
it 1/r revolutions for each revolution of the stripped driver.
Thus on a radix 10 counter, in which the position of the full-
toothed gear is represented by the digits 0 to 9 around a dial, a
388 PHYSICAL COMPONENTS AND METHODS
new decimal digit appears at an aperture after each revolution of
the input shaft. A single decimal counter is illustrated in Fig.
15-1. A group of such dials, cascaded so that the output of one
rotates the stripped gear of the next, form a decimal counter on
which as many digits as desired may be represented. A detent
mechanism may be required to hold the full-toothed gears in
their discrete positions when they are not meshed by the teeth on
the partially stripped gears. The dials on these counters are
commonly placed on the outside of short cylinders, which are
located behind a window aperture and arranged so that only one
digit on each cylinder is in view at any time.
Mechanical counters are manufactured by the Veeder-Root
Company. Various models of this device count rotations,
reciprocating displacements, and electrical pulses. The output
of these counters is normally a set of numbers to be read visually.
However, several models are available with printing wheels as
an optional feature. The top speed recommended for any
Veeder-Root Counter is about 42 counts per second. Most of
them operate at about 15 counts per second maximum.
Mechanical counters have also been equipped with electrical
pick-off s at each discrete position in order to generate electrical
signals representing shaft position. An analog-to-digital con-
verter which consists of a group of rotary switches geared to a
rotating shaft is used in the MIT differential analyzer.1 These
switches in conjunction with conversion circuits operate an
electric typewriter and type numbers which indicate the shaft
location. Another electrically read device is used in the Harvard
Mark I and is known as an electromechanical counter wheel.
Each counter wheel has 10 discrete positions and a set of electrical
contacts for each position. The wheels are driven to their
prescribed position by means of a common drive motor through a
magnetic clutch. The clutch actuation is controlled by a
number-input mechanism which causes each wheel to be driven
to the digit to be represented.
15-2-3. Film Converter. Another rotational analog-to-digital
converter has been proposed which can be arranged to convert
shaft rotations to numbers of radix 2. This converter employs
a continuous strip of film on which transparent and opaque spots
are photographed. These spots are arranged in columns across
the width of the film to represent binary numbers, which increase
DATA-CONVERSION EQUIPMENT
389
by one unit for each successive column along the length of the
film. Thus, a 15-digit binary number is represented by a column
of 15 code areas across the film and provides an opportunity to
employ up to 215 different numbers for the shaft rotation involved.
The film drive is of the intermittent type used in motion-picture
projectors and thus fulfills the definition of a continuous-to-
discrete-value converter. Common types of intermittent drives
are the Geneva movement and the Powers pin-cross and the
BANK OF
PHOTOCELLS
LOOP OF DIGIT-
-CODED MICRO-
FILM
AMPLIFIERS
\
CONTROL
GATE
1
STORAGE
UNIT
OUTPUT
NPUT SHAFT
Fig. 15-2. A scheme for converting analog to digital data. The micro-
film drive moves smoothly while coded areas on the film are sensed photo-
electrically.
star-wheel drives.3 A given amount of input shaft rotation
causes the film to move forward one discrete frame or, in this
case, one column of code areas. If a photocell is used in con-
junction with each of the 15 rows of spots in a column and if a
light source is arranged to shine through the film and on the
respective photocells, as described in Sec. 14-2-3, a radix 2
digital representation of the input shaft position is imposed upon
the photocells.
A mechanical film drive requires more than a millisecond to
step the film from one code column to the next. In order to
increase the maximum film speed and to eliminate ambiguity
390 PHYSICAL COMPONENTS AND METHODS
during the advance time, an electronic synchronizing scheme
could be used instead of the intermittent film drive. A row of
synchronizing dots on the film might control gates which allow
the photocells to be sensed when the code pattern is centered in
the optical system, but at no other time. Thus, each number
is held until it is possible to sense the next one correctly. A con-
verter of the type described has been proposed by ERA and is
illustrated in Fig. 15-2. It is thought that 50 binary digits can
be stored across the width of a 35-millimeter film.
15-2-4. Pulse Code Modulation. A wide-band communica-
tion system which has desirable signal-to-noise characteristics
has been devised using a binary representation of analog sig-
nals.4-11 This system is called pulse code modulation, or p. cm.,
and is of interest because of the converters which are used and
because of the possibility of transmitting analog data to a com-
puter in digital form over a telemeter link.
Three general types of analog-to-digital converters have been
devised for p. cm. In all three schemes, the instantaneous
amplitude of the analog signal is measured or sampled periodi-
cally. The sampling rate is made slightly more than twice the
highest frequency component which is desired to be sent. Higher
frequency components are filtered out of the signal previous to
the sampling procedure.
In the first type of p. cm. converter, the number of voltage
units in an amplitude sample are counted successively a unit
at a time until a residue of less than one unit remains.4,7 In the
second type of p. cm. converter, the amplitude of the sample is
compared with a standard voltage which corresponds in mag-
nitude to the highest order digit, and the standard voltage is
subtracted if it is smaller than the sample. The remainder of
the sample is then compared with a voltage corresponding to the
next highest order digit, and another subtraction is made if the
sample is larger. This process is continued until the lowest
order, or unit, digit is compared with the remainder and is deter-
mined to be either larger or smaller.6 In the third type of p. cm.
converter, the sample amplitude is measured, and the correspond-
ing digit pulses are produced without intermediate counting or
subtracting.8,1011 The speeds of these three systems increase
in the order of listing given above.
Examples of the first and third converters are given in order
DATA-CONVERSION EQUIPMENT
391
to illustrate their operation and circuitry. The first is perhaps
the most simple of the p. cm. conversion schemes and will serve
as a basis for comparison in describing the third type, which is
the fastest.
INPUT GENERATOR
SIGNALS
-0-
I PULSE DELAY
Fig. 15-3. Pulse code converter. The instantaneous amplitude of a signal
produced by the input generator is periodically sampled and converted into
a proportionate number of clock pulses by the modulator and gate and into
digital representation by the counter. This number of pulses must be
between 0 and 15 in the equipment illustrated. Here two samples of the
signal are being taken; the amplitudes at the points where the signal is
being sampled, expressed in numbers of pulses, are shown as 10 and 5 (with
respect to some bias voltage).
The first scheme was patented by A. H. Reeves and has been
investigated by Bell Telephone Laboratories and by the Federal
Radio and Telephone Corp.4,7 A sample of the voltage represent-
ing the data to be converted is first introduced into a sampling
392 PHYSICAL COMPONENTS AND METHODS
pulse-width modulator which measures the amplitude of the
incoming voltage with respect to a reference bias voltage and
gates out a pulse having a width proportional to the measured
amplitude. The variable-width pulses control a gate in such a
way that a number of clock pulses nearly proportional to the
width of the pulse is passed through. If the analog data are
to be represented by four binary pulses, they are represented to
within 1 part in 24, or 16. Therefore the clock-pulse rate is
set so that pulses of maximum width consume the same amount
of time as 16 clock intervals, and each amplitude sample is
replaced with from 0 to 15 clock pulses which represent the
amplitude of the sample. The series of clock pulses is counted
in a four-stage binary counter of the type described in Sec. 13-5
on ring counters. A block diagram of this system is illustrated
in Fig. 15-3.
The third type of p. cm. conversion has been accomplished
at the Bell Telephone Laboratories8,10'11 using a perforated-mask
type of converter. The mask intercepts an electron stream in a
tube similar to a conventional cathode-ray tube. The beam
passes between two perpendicular pairs of electrostatic deflecting
plates which serve to locate the beam on the mask. A positive-
potential pulse plate is mounted at the large end of the tube
perpendicular to the longitudinal axis, and the mask is. placed
in front of it. Thus, the electron stream may or may not reach
the collector plate, depending upon whether it is deflected to
pass through a hole in the conducting mask or not. The collector
plate might be replaced with a photoelectric cell which detects
the presence of a light spot anywhere on a conventional c.r.o.
screen.
The analog voltage is sampled periodically, and a voltage
which is proportional in amplitude to the sample is applied to
one set of deflection plates. Simultaneously, a sweep voltage is
applied to the other pair of deflection plates so that the electron
beam scans across some portion of the mask. The mask has
holes cut in it similar to the pattern illustrated in Fig. 15-4 so
that if the sample amplitude controls the vertical location of the
beam, the electrons reaching the collector will be modulated by
the mask in a manner dependent upon the code pattern. The
code pattern illustrated represents the binary numbers from 0
to 15, and consequently the electrical pulses on the collector
DATA-CONVERSION EQUIPMENT
393
plate produce a serial binary number which is roughly propor-
tional to the analog sample. Auxiliary equipment is used to
assure that the electron beam
moves along the center of a row
of code areas and not along the
edge.
This device has been used to
sample 12 channels of voice fre-
quencies up to 3,400 cycles per
second simultaneously utilizing
a mask which is seven binary
digits wide. Electrical pulses
1.5 microseconds wide are trans-
mitted at a rate of 672 kilocycles
per second.
15-3. Digital-to-analog
verters
Con-
Fig. 15-4. An analog-to-binary-
converter screen.
After the required computa-
tions have been performed in a
digital computer, it is sometimes
desired to transform the digital
results into analog form for ease
of viewing and assimilation.
Three types of digital-to-analog conversion are discussed here:
conversion of pulses to voltage amplitudes, conversion to rotary
motion, and conversion directly to a graphical representation.
15-3-1. Pulse Converters. A series of electrical pulses may be
transformed into a d-c voltage by allowing them to gate stand-
ardized pulses into a capacitor having very low leakage. The
voltage across the terminals of the capacitor at any instant is
proportional to the number of pulses gated into the capacitor
since the last time it was fully discharged. This transformation
method was the basis of some of the early measuring circuits
associated with Geiger-Muller counters and is also used in
frequency dividers.
A digital-to-analog converter employed in the Bell Telephone
Laboratories p. cm. system makes use of the exponential decay
characteristics of an RC circuit. The digits of a binary number
are represented by standardized electrical pulses, separated
394
PHYSICAL COMPONENTS AND METHODS
evenly in time and arranged so that the lowest order digits
appear first. They are applied to a capacitor circuit with the
RC constant so adjusted that half the charge leaks off between
pulse times. The total charge after all the digits in a number
have been inserted is proportional to that number.
For example, consider a converter in which four-digit binary
numbers are introduced in pulse times 1 to 4 and are removed
at pulse time 5. If the binary numbers 1,010 and 1,111 are
converted in this fashion and inserted pulses are 80 volts in
amplitude, the voltage on the capacitor as a function of pulse
times is shown in Table 15-1.
Table 15-1
Pulse
Binary number = 1,010
Decimal number = 10
Binary number = 1,111
Decimal number = 15
time
Binary
digit
Capacitor
volts
Binary
digit
Capacitor
volts
1
2
3
4
5
0
1
0
1
0+0 =0
0 + 80 = 80
40 + 0 = 40
20 + 80 = 100
50
1
1
1
1
0 + 80 = 80
40 + 80 = 120
60 + 80 = 140
70 + 80 = 150
75
It can be seen from the above example that the decimal
conversion factor is 5 volts per unit at the pulse time. The
converter described was proposed by Shannon at Bell Telephone
Laboratories. An important modification has been developed
by Rack5 which makes timing less critical.
15-3-2. Rotation Converters. By a slightly different arrange-
ment the rotational analog-to-digital converters previously dis-
cussed can be operated in an inverse manner to produce a rota-
tional output for a digital input. A servomechanism12-15 may
be coupled to the film converter or electromechanical wheel
counter in such a way that the motor drives the shaft until a
desired number is located.
As an example, consider the film converter of Fig. 15-2.
Numbers from 0 to 24 — 1 are represented successively in binary
form as transparent and opaque dots . on a four-row field as in
DATA-CONVERSION EQUIPMENT 395
Fig. 15-4. The fourth-order or left-hand row of digits is half
O's and half l's (eight of each). The photocell output for that
row is compared with a signal representing the desired digit,
and the servo drives the film in the correct direction so that the
fourth-order digits are caused to match. After the servo has
driven the film to the nearest point where fourth-order digits
match, a comparison of third-order digits is made. Within the
limits in which fourth-order digits are matched, half the third-
order digits are l's and half are O's (four of each). Again, the
desired third-order digit is compared with the third-order digit
on which the film is set, and the film is either left where it is or
driven to the first point where third-order digits coincide. This
process is continued until the film is driven to a point where its
digits coincide with those of the number desired.
Another example utilizing the principles involved in the film
converter can be found in the MIT differential analyzer.1 This
is a tape-operated device which sets the displacement of the
integrator disk to within 1 part in 150,000 of the maximum
displacement after a punched tape is prepared by an operator.
The conversion from the digital value on the tape to shaft rota-
tion is accomplished with the aid of 44 relays and a set of rotary
selector switches on the output shaft. The shaft is driven by a
servomotor which, in turn, is controlled by the switches. First
the relays are set by electrical contactors actuated by the holes
in the punched tape; then the servomotor is caused to rotate in
the direction to close corresponding switches on the integrator
shaft. The motor continues to drive the integrator shaft until
a switch corresponding to each digit is closed, whereupon it is
caused to stop.
15-3-3. Use of the Selectron as a Digital-to-analog Converter.
As originally conceived (see pages 370-371) the Selectron had a
64-by-64 grid, on a cylindrical surface. By deforming such a
grid into a plane, it would be possible to produce a device for
converting digital data directly into graphic form. The electron
beam would be directed upon a spot on the screen opposite a par-
ticular window in the grid for each digital value; the composite
of the spots would form a graph.
For example, if some digital F{x) is to be plotted as a function
of digital quantities, represented by the letter x, the x quantities
are caused to operate the gates associated with the vertical bars,
396 PHYSICAL COMPONENTS AND METHODS
and the F(x) quantities are simultaneously applied to the hori-
zontal bars. Thus, in a Selectron system having 25 vertical bars,
values of x ranging from 0 to 25 — 1 might be plotted. Then,
all values of x between 0 and 1 would cause the left-hand set of
bars to be made positive; all values between 1 and 2 would cause
the next pair to the right to become positive, etc., so that values
between 30 and 31 would cause the right-hand pair of bars to
become positive. A similar scheme would be used to introduce
F(x) values on the horizontal bars, and quantities would be
plotted to within an accuracy of about 3 per cent. If x and
F(x) values are directed to the vertical and horizontal bars
simultaneously, a Selectron window is opened at a point on the
grid which represents the value of these two quantities. Num-
bers to be plotted can be brought into the range of the plotting
device by a previous multiplication or division by a scale factor
as required. A photosensitive screen placed behind the Selec-
tron grid, in place of the dielectric storage plate, would cause a
visual spot to be obtained for each x versus F(x) entered.
15-4. Conversion of Data from Written to Automatic Machine
Form
Data for automatic computation often are presented in a
written form not easily assimilated by a computer. They must
be converted therefore into some new form for introduction
into an automatic machine.
The most common written form for recording data is the famil-
iar numerical tabular form used in accountants' records, engineer-
ing data sheets, and tables of mathematical functions. Data
may be recorded also as a set of plotted points, which represent
in analog form a function of one parameter in terms of discrete
values of another parameter. As a variation of this form, a set
of lines may be drawn from the plotted points perpendicular to
one coordinate axis. These two presentations of plotted data
will be referred to as sampled analog data.
The numerical tabular form of written data may be introduced
into a computing machine by a human operator who reads the
data and manipulates dials or a keyboard in a manner which
corresponds with his mental evaluations of the data. Sampled
analog data may be transferred by an operator in one of two
different ways. First, the various points of a plotted set may
DATA-CONVERSION EQUIPMENT 397
be measured from a reference with a scale or ruler. Numerical
measure thus is afforded which may be introduced into a machine
in a manner similar to numerical tabular data. A second method
of transferring plotted data is to superimpose a sighting device
upon the points, thereby producing shaft displacements which
may be used in the machine as measures of the function values.
This method permits the transfer of data without requiring the
operator actually to sense the values mentally.
Data in the form of continuous curves may be evaluated in
a manner similar to the methods used for sampled data. Auto-
matic curve-tracing devices have been made which utilize photo-
electric-cell sensing to control a motor drive for the curve follower.
In this section are included descriptions of equipment which
has been devised to perform data conversion from a written form
into a form suitable for introduction into an automatic computing
machine. In addition, a description is included of a proposed
device with which data may be entered into a computer from
vocal commands.
15-4-1. Conversion from Written to Automatic Digital Form.
The automatic digital forms into which data may be transcribed
are discussed in Sec. 14-2 under the topic of storage mediums.
The ways in which data have been transcribed from written form
to these automatic digital forms are numerous, but all employ
the idea of the keyboard or the dial. It is important that the
converting process allow the operator to keep his eyes on the
data being read.
Keyboards. There are several types of keyboards in common
use. The simplest of these is the single key used by the tele-
graph operator. The semiautomatic key for high-speed teleg-
raphy has a neutral position, a position for dots, and a position
for dashes so that it can be used to generate binary numbers
serially.
The Sundstrand keyboard is used on some desk calculators. It
employs only 10 keys representing the 10 decimal digits. These
keys are depressed successively, and a number is formed in a small
register window where it can be checked before the operation
begins or before the number is transferred to the storage medium.
This keyboard can be operated quite rapidly by the touch
system.
The Burroughs keyboard, in which lOn keys are required to
398 PHYSICAL COMPONENTS AND METHODS
set up an n-digit number, is common on desk computers. It may
be operated by the touch system, but not as rapidly as the
Sundstrand. The desirable feature of this keyboard is that after
all the numbers are set on the keyboard, they may be checked
visually, and any errors may be corrected easily before the
computation with the number begins.
A familiar keyboard is that of the ordinary typewriter, which
may be operated at speeds of about five letters per second. It
has the desirable feature that many operators are already pro-
ficient in its use. A keyboard based on the standard typewriter
keyboard is being used as the input device for the UNIVAC. If
a typewritten record is made in conjunction with the data-con-
version process, it may be checked for errors, which may then be
corrected before computations begin.
Dvorak18 has suggested rearranging the positions of the keys
on the typewriter keyboard so that easier finger motions are
required in typing the frequently used letters and combinations
of letters. Machines have been equipped with Dvorak key-
boards and used successfully in speed tests and other demon-
strations. It is said to be difficult to retrain an experienced
operator to use this keyboard, but novices can probably learn
to use it at least as easily as a conventional keyboard. Type-
writers equipped with this keyboard are available.
The keyboard on the teletypewriter basically is similar to that
of the typewriter but has three rows of keys rather than four.
All letters are upper-case, and numbers are accessible by use of
the shift key. The machine has a top speed limit of about six
letters per second. Teletypewriter equipment is used in the
input equipment for the Mark II and Bell Telephone Laboratories
machines.
Another keyboard which has been devised for high-speed
typing is manufactured by the Stenotype Company. This
keyboard contains 22 keys which represent the common sounds
of the language used. The operator uses the fingers of both
hands and by depressing several keys simultaneously produces
the associated sounds in the desired order. Stenotype operators
can attain a speed of 250 words per minute. Part of this increase
in speed results from the reduced number of keys which must be
struck for each word written, and part of it results from the fact
that several keys may be depressed simultaneously. Although
DATA-CONVERSION EQUIPMENT 399
this machine is not particularly suitable for use in a computer,
the possibility of using the principle of making up numbers and
orders out of combinations of keys might well increase the speed
of transcription from written to automatic machine forms.
Keyboard Coupling Devices. Manually operated keyboards
are usually employed to record data on storage mediums for
future use in a computer. The actual coupling between the keys
and the recorder unit then depends to a large extent upon the
type of keyboard and the type of storage employed. There are
possible a large number of coupling devices, some of which are
suggested in this section. The teletypewriter is described as an
example which employs mechanical coupling, electric switches,
and an encoding commutator.
When storage mediums such as punched tape and punched
cards are used, the coupling between keyboard and punches may
be entirely through mechanical linkages. These linkages are
arranged to set the proper punches, which are usually driven
through the paper by an auxiliary power source.
When an electrical output is desired from the keyboard, the
keys may operate switches directly or may operate small shutters
which control a supply of light to a group of tiny photocells. The
latter principle is applied in Teleregister Corporation equip-
ment.16 Photocells have the advantage over switches that they
do not have contacts which may become dirty and thus cause
intermittent operation. Other couplings, which might be
devised to overcome this rather fundamental difficulty with
small switches, are electrostatic and inductive devices which
can be coupled and uncoupled with a keyboard.
The teletype machine is a combination keyboard and printer.20
The keyboard section contains five switches, and each key causes
one or more of these switches to be closed when it is depressed.
The coupling from key to switch is through levers, cams, and
five sets of push rods, which run the width of the keyboard.
When a teletypewriter is used in conjunction with a tape per-
forator, the five switches control five pin-setting devices. An
electromagnet in the punching machine causes the set pins to be
driven through the paper tape. Thus, a unique hole pattern is
produced in the tape for each key depressed.
When the output of the teletype machine is to be transmitted
by a single wire, the five switches are connected to the central
400 PHYSICAL COMPONENTS AND METHODS
five positions on a seven-place electromechanical commutator.
When a type key is depressed, corresponding switches are closed
and latched, and the commutator arm begins a single rotation.
In its first position a start pulse is placed on the single wire; in
the next five positions positive or negative pulses corresponding
to the particular key depressed are generated; and in the seventh
position a stop pulse is sent out. At the completion of the
cycle the switches are released, and the machine is ready for the
next key to be depressed. Thus, for each letter typed on the
keyboard, a string of seven positive and negative pulses are
emitted serially from the single-wire transmitter.
The receiver unit of a teletypewriter consists of a mechanical
amplifier which increases the mechanical power available from
the relatively weak incoming signals so that they can be separated
and used to swing a type bar corresponding to the key depressed.
When a teletypewriter is set to send or receive at one time, the
receiver unit may be electrically connected to the output of the
keyboard so that a copy of the material being sent out is typed at
the sending station. This arrangement aids the operator in
keeping track of lines and in locating errors. Since the keyboard
and the printer are located together, one unit suffices for sending
and receiving.
The IBM Corporation produces the Electromatic Typewriter,
which is available on a rental basis. Although this machine was
not originally intended for transmitting information, the Globe
Wireless Company has modified these machines so that they are
suitable for this purpose. In the IBM machine the keys operate
combinations of six switches simultaneously. The Globe
Wireless Company has added an electronic conversion unit which
transforms the information in six static switch settings into a
serial string of six pulses. When the key is struck, it also causes
a type bar to strike the paper in the manner of a conventional
mechanical typewriter, so that a record of the message sent is
also made at the transmitter.
A separate machine is required as a receiver in the Globe Wire-
less equipment. This machine has an electronic converter called
a permutation unit, which distributes the six serial pulses into six
channels. Each of these six channels controls an electromagnet,
which in turn operates code levers. These code levers operate
DATA-CONVERSION EQUIPMENT 401
the type bars which actually print the characters corresponding
to the serial pulses received.
Another tape-punching typewriter designed for special uses
in offices is made by the Justowriter Company. It, also, is
available on a rental basis.
Dials. A second conceivable manner in which an operator
might transcribe data from numerical form to automatic digital
form is by setting the numbers on dials with discrete positions
on them. These positions might be determined by a detent
mechanism arranged to hold the dial on positions corresponding
to whole numbers. A variation of this idea is illustrated by the
telephone dial, with which discrete numbers are registered
by means of discrete holes in the finger ring.
Speech Converters: One of the most common forms of error
which operators make in keying or dialing numbers is to transpose
digits. Furthermore, a certain amount of skill is required in
order to operate a keyboard speedily and accurately. An
input device which allows the operator to concentrate on the data
which he is entering into the machine and which requires little
practice to use might be devised from a speech converter. The
operator merely reads the digits of a number into a microphone,
and the digit names are recognized by selective filters in an
amplifier. On the basis of this recognition, gates are opened
which convert the sound of the spoken digit into automatic
digital form. The reproduction of speech from elementary
sounds was studied at Bell Laboratories prior to 193817 and has
recently been reconsidered in England.19
15-4-2. Conversion from Written to Automatic Analog Form.
A simple way in which to convert numerical values into analog
form suitable for automatic machine operation is by means of a
dial mechanism or keyboard. Plotted data may be converted
for introduction to a computer either by measuring and entering
from numerical values or by sensing with a curve-following
device connected to a displacement mechanism.
Dials, Scales, and Keyboards. A dial may be used to establish
an angle of rotation on a shaft, to set a potentiometer, or to
rotate a synchro.20 A scale is customarily used for measuring
linear distances. The familiar slide rule, for example, has
linear scales along its edges, and numbers may be converted from
402 PHYSICAL COMPONENTS AND METHODS
digital to analog form and back again by the operator several
times in the course of an arithmetic operation.
Similarly, analog values could be set with a keyboard in a
number of different ways. For instance, each key might operate
a lever arm having a length proportional to the key number.
Also, each key might operate an electrical contactor and thereby
switch impedances or voltages in a manner designed to create
appropriate analog values. Another possibility is to have keys
set stops in some device which moves until it hits a stop, thus
converting key settings to linear or angular displacements.
A keyboard is used originally to punch tape with which the
integrator disks are set on the MIT differential analyzer as
described in Sec. 15-3.
Curve Followers. An operator can transfer discrete or con-
tinuous values plotted on paper into automatic form by means
of a curve follower. In essence, the operator controls a cross
hair or similar sighting device so that it moves from one to
another of a set of discrete plotted points or along the curve of a
continuous record. The position of the tracing element with
respect to a selected reference point corresponding to the origin
of the curve becomes the analog output of the machine, which
may be in the form of shaft rotations or linear displacements. If
a curve is plotted in rectangular coordinates designated by x
and y, the medium on which the curve is drawn may be moved
by a motor drive in the x direction. The operator then controls
the y position of his sight and possibly the speed and direction
of the x drive. Such a scheme is easier for the operator to use
than one in which he controls both axes completely and simul-
taneously. Equipment requiring manually operated drives
similar to the one just described is common in gun-laying and
bombing computers.
The output of a curve follower usually consists of a pair of
shaft rotations which are proportional to two plotted quantities.
Sometimes one shaft will be driven by another part of the
machine, in which case only the operator-controlled shaft will
constitute an output. As a check upon the accuracy of the
operator, a pencil can be attached to a curve follower so that the
distance between the recorded curve and the curve traced out
by the operator can be determined.
Automatic curve followers have been considered for some time,
DATA-CONVERSION EQUIPMENT 403
and one was built by Hazen, Jaeger, and Brown at MIT and
reported in 1936. 22 It is capable of following a single-valued
function of one variable within the range where its first derivative
remains finite. Their machine was successful and is the fore-
runner of a similar automatic curve follower which was developed
in Germany at the Technische Hochschule, Darmstadt.23 It
operates on the basis of a photocell which rides along one edge
of a black line on a light background. An image of an illuminated
section of the line is focused on the photocell through a circular
aperture which passes a spot of light having a diameter equal to
about one-third the width of the line. The equilibrium position
of the photocell is established at the place where half the image
is black and half the image is white. With this arrangement an
increase in illumination, which results when the photocell is
moved away from the center of the line, energizes a servomecha-
nism, which drives the photocell back toward the center of the
line, and a decrease in illumination causes the photocell to be
driven away from the center of the line. Since the servodrive
is along the y axis, the sight is actually driven in the -\-y direction
in one case, and in the — y direction in the other. Therefore,
it is essential that the sight remain on the side of the curve on
which it will always be led back toward the center of the line.
The accuracy of this curve follower is a function of the amount
of hunting which occurs in the servosystem. The amount of
hunting depends in a rather complicated manner upon the circuit
parameters and the input functions and is described in the
theory of servomechanisms.12,14'15 In general, the inertia of
the system should be as low as possible to reduce hunting ampli-
tude. Increased damping decreases the hunting but also
increases servo lag and consequently error.
With a given servosystem and a limit set on the error which
can be tolerated, the velocity of the servo movement must be
restricted. This velocity is equal to the product of the x-direc-
tion velocity of the curve times the slope of the curve. In the
German machine a speed of 3 millimeters per second in the x
direction is a safe drive speed. The error caused by the aperture
hunting a distance d normal to the curve and with the curve
making an angle a from the y axis is
d
E
COS a
404 PHYSICAL COMPONENTS AND METHODS
and on the German machine a value of d — 0.1 millimeter was
attained.
Other automatic curve followers have been considered in which
a second photocell is used to detect the slope of the curve. The
main servo-circuit parameters thereby may be controlled in such
a way that the curve may be followed efficiently over the wide
range of required servo velocities resulting from the wide range
of slopes on various parts of the curves to be followed. An
application of modern servomechanism circuit techniques to this
problem would probably be well rewarded.
The automatic curve follower just described, like the MIT
device, is limited to sections of curves in which the first derivative
or slope is finite, since the control circuit is unstable when its
orientation from the center of the curve is reversed. Manually
operated followers, however, are not limited in this respect.
When a curve follower is guided by a human operator, any of
several curves plotted on the same medium can be chosen and
even changed during the course of the problem if data are
changing slowly. Therefore, functions of more than one variable
can be followed manually. Use of an additional parameter is
not feasible with an automatic curve follower, since it is unable
to distinguish one curve from another or to interpolate between
curves.
15-5. Transcription of Data from Automatic Machine to Written
Form
After a computation is completed, it may be desirable to study
the results, and therefore the output of the machine must be
produced in a written form. This is not particularly necessary
in a gun-director computer or similar tactical device, where the
results are used as they are computed, but it is important in
solving the problems of science. The written values may take
any of several forms, the most convenient depending upon the
nature of the data and their eventual use. If large amounts of
data are to be listed in tabular form, it is well to list tabular sum-
maries of the data also. In some cases it will be most convenient
to have the output data plotted in graphical form. In this
section is discussed the conversion of quantities from machines to
written numerical or to written analog forms. Equipment which
performs this function is referred to as output equipment.
DATA-CONVERSION EQUIPMENT 405
15-5-1. Transcription from Automatic Digital to Written
Numerical Form. The mechanical, electronic, and photographic
printers which have been devised for numerical transcription
are discussed in this section.
Electric Typewriters. There are several commercially available
electric typewriters which are of interest as output devices for
printing results in numerical form.
The teletype equipment,20 described in Sec. 15-4-1, is a com-
bination keyboard and printer. It can be used to type numbers
and letters from groups of synchronized pulses. Similarly, the
modified IBM Electromatic Typewriter and the Justowriter
equipment can be operated from punched tape or other sources
of electrical input signals. RCA Communications, Inc., also
produce a number of tape-operated typewriters.28
In a conventional typewriter, when a key is depressed, an arm
with an individual type face on it is caused to fly up and hit the
paper, thereby printing a letter or a number. There is another
group of typewriters in which the font of characters is placed on a
small wheel located behind the paper. When a key is struck,
the wheel is caused to rotate until the corresponding type lies
behind the paper, which is then struck by a hammer from the
side opposite the font. This is the principle of the early Ham-
mond typewriter, a Dow Jones machine, a Western Union
machine, and the Vari-typer. The action is simple, and it is
rather easy to change type fonts. Typewriters are essentially
serial printers since only one letter is printed at a time.
Multibar Printers. A somewhat faster device is known as the
multibar, or gang, printer in which all the type is arranged along
a bar, and several like bars are mounted side by side. In one
version of the multibar printer, each bar is displaced longi-
tudinally so that the correct figures are aligned to form an anvil
behind the paper. Letters and numbers are printed by means of
a hammer which hits the paper and presses it against the bars.
As an example, a printer having three bars each containing the
digits 0 to 9 can print three-digit decimal numbers. If the
number 281 is to be printed, the left-hand bar rises three places
to the digit 2, the second rises to the digit 8, and the third rises
so that the digit 1 is under the hammer. Since these bars may
be raised simultaneously, the total time required for printing is
the time required to set a bar and to strike it with the hammer.
406 PHYSICAL COMPONENTS AND METHODS
A mechanism of this type is found in the ordinary desk adding
machine.
In a Remington Rand multibar printer, each letter is mounted
at the end of a rod which is free to slide longitudinally. A stack
of these rods is arranged in a carriage which slides up and down
like the bar in the multibar printer. In this type, the hammer
hits the correct type rod and presses it against the paper.
Gang printers which are now available include the Remington
Rand and IBM printers, which attain a printing speed of over
100 characters per second. These machines print letters as well
as numbers. An IBM printer which handles numbers only will
print at a rate of about 200 digits per second. It has been
estimated that gang printers with bars actuated by pneumatic
or hydraulic instead of electromechanical means could be made
to operate at a rate of several thousand characters per second.
A gang printer in which the type is located on rotating drums
rather than bars has been suggested. By rotating the drums
at a constant velocity, the need to accelerate the type is elimi-
nated. Printing is accomplished by causing a hammer to strike
the paper against the wheel as the proper letter is passing by.
Since the hammer has to move only a short distance, it can be
brought in place very quickly so that the operating speed of such
a gang printer should prove to be quite high.
Flash Photographic Printers. If extremely high speeds are
required in an output printer, photographic techniques can be
exploited. They are limited in top speed by the maximum rate
at which reasonably intense light sources can be modulated. At
the present time this limit is around 1,000 flashes per second
with small Edgerton-type flash tubes employed in commercial
stroboscopes and mentioned on page 320. A compromise
between flashing rate and illumination is necessary to prevent
overheating when a flash tube is used repetitiously. Several
models of this tube are produced by Sylvania Electric Products,
Inc., and the General Electric Co. The latter is experimenting
with a flash tube which promises to be smaller and faster than
the coil-type lamps.
The Numero scope. A high-speed, photographic recording
device called the Numeroscope2b'26 for use with a computer has
been developed at Harvard. Each digit in a number is formed
on the face of a cathode-ray tube, and a picture is taken of all
DATA-CONVERSION EQUIPMENT 407
the tubes in a row. In the system proposed, a 1-inch cathode-
ray tube will be provided for each of 20 decimal digits. A
group of 10 generators produce the electrical wave forms required
to produce each Arabic numeral on a cathode-ray- tube screen,
and these signals are gated to the proper tubes by the output of
the computer. The 20 tubes are arranged side by side in a light-
proof box with a shutterless camera which is aimed and masked
to photograph a row of numbers across the cathode-ray tubes.
After a frame of numbers is photographed and has disappeared
from the screens, the film is advanced a short distance in readiness
for the next exposure.
Most of the work reported on the Numeroscope consisted in
the development of the electronic circuits required to form the
figures. It was decided after an analysis that it would be very
tedious to generate the figures with a combination of the required
sinusoidal components; hence nonlinear circuits were devised
with which to operate on sine waves of 2,000 and 5,500 cycles
per second. Each figure is broken down into straight lines and
sections of ellipses which are generated in turn and correctly
positioned on the face of the tube. For example, the figure 8
is a small ellipse which is alternately moved up and down so
that it appears as one ellipse on top of another. Half-wave-
rectified signals are used to produce the figure 7, one leg of which
is produced during one half of the cycle and the other leg during
the alternate half.
The smallest figure which can be photographed is a function
of the graininess of the film, and the exposure time is a function
of the emulsion speed. The speed of this device in number of
digits which can be photographed in a second can be determined
from a knowledge of these two factors. Recent information27
indicates that writing speeds of 270 inches per microsecond can
be photographed on a P-ll screen with high accelerating poten-
tials using an //1.5 lens and E. K. Linagraph Pan (5244).
ERA Rapid Printer. At the time of this writing, ERA is
developing a high-speed printing device under contract with the
National Bureau of Standards. In this device, as in the Numero-
scope, characters are produced on a cathode-ray tube screen by
means of combinations of signals applied to the deflection plates.
A technique based on magnetic recording principles is used to
generate the signals.
408 PHYSICAL COMPONENTS AND METHODS
The Monoscope. A piece of equipment commonly used in
television transmitting stations is known as a monoscope.2*'29
This device is a small Iconoscope television transmitting tube
with a picture or a diagram fixed on the inside of the envelope.
A plate with a fairly high secondary-emission ratio, such as
aluminum with its normal coat of oxide, is used in place of the
mosaic. A figure is painted on the plate with a material, such as
carbon ink, having a contrasting secondary-emission ratio. As
the plate is scanned with an electron beam, a secondary-emission-
current pattern of the diagram is produced. A device similar to
the Harvard Numeroscope has been contemplated using a bank
of 10 monoscopes each having a decimal digit built in. All
could be operated from common sweep generators as could the
Kinescope tubes on which the numbers are made visible. The
output register would serve to key the proper monoscope into
a row of Kinescope tubes arranged to be photographed as in the
Numeroscope.
Other Digital Recorders. The use of the Selectron as a digital-
to-analog converter was suggested on page 395. An image
plotted on a Selectron used as a converter could be photographed
in order to make a permanent record of computer results. In
order to keep the trace on the screen for a time long enough to
be photographed, it might be necessary to introduce the same
set of values cyclically for a short period of time.
Electrical pulse-operated counter wheels also may be photo-
graphed to provide a permanent digital record.
15-5-2. Transcription from Automatic Analog to Written
Form. It is often desirable to record the output of an analog
machine for future reference and study. The output of the most
common analog devices is a voltage or a shaft rotation. Various
ways of recording these outputs are discussed in this section.
Electrical Output Recorders. An important type of electrical
analog device is the d-c or a-c network analyzer. The output
of a network analyzer is the current, power, or voltage at a
number of points in the network, the number being dependent
upon the type and size of the network under analysis. As an
aid to reading and transcribing to paper a large number of volt-
ages, a recording voltmeter, such as the Brown Recorder, may be
employed. These devices contain servosystems which position
a pen on a linear track perpendicular to the direction in which a
DATA-CONVERSION EQUIPMENT 409
long sheet of paper can be moved in discrete steps.30 The zero-
voltage position of the pen and the scale factor may be adjusted
so that any voltage of sufficiently high level can be recorded.
If voltages are to be measured at 50 different places in the net-
work analyzed, a probe may be applied to each of these in turn
and the voltages recorded along 50 different axes on the paper.
If some parameter is changed, the paper can be rolled back and
the entire process repeated. Each set of dots, when connected
or otherwise identified, results in a plot of values along some
route through the network.
The output of the Westinghouse Transient Analyzer is a pair
of cyclical voltages, displayed on the screen of a cathode-ray
oscilloscope to represent the wave form of a transient quantity.
One of the cyclic outputs is usually a saw-tooth voltage to
represent a time base. Still photographs are taken of the output
curves for permanent records.
The output of an electronic differential analyzer is also one
or more voltages which vary in time. A display of an output
voltage along one axis of a cathode-ray screen can be photo-
graphed with a shutterless camera to produce a continuous curve
as a function of time. Similarly, output voltages may be
recorded on an electromagnetic oscillograph.
Mechanical Curve Tracers. The output of a mechanical
differential analyzer usually consists of the rotation angle of
two or more shafts. A plot of one output as a function of
another (usually machine time) can be obtained by arranging a
pair of drive systems so that one output drives a marking instru-
ment, such as a pencil, in one direction and the second output
drives either a paper or the pencil in a direction perpendicular to
the first. Thus, the pencil traces values on the paper in cartesian
coordinates. A convenient mechanical arrangement is to place
the paper over a cylindrical drum and have one drive cause the
drum to rotate around its axis. When polar plots are desired,
the pencil is moved in and out from the origin, and the paper is
caused to rotate about the origin.
Since the output mechanism of the integrators used in a dif-
ferential analyzer will slip if loaded heavily, a servosystem is
usually required to drive the curve-plotting device. The
requirements for the servosystem are low static and dynamic
error and good stability, or freedom from overshooting. The
410 PHYSICAL COMPONENTS AND METHODS
marking device may be a pencil, a pen, or an electric scribe, used
with paper which is marked when current is passed through it.
A paper of this type is called Teledeltos paper.
Counter-wheel Printers. It may be desirable to sample the
output of an analog quantity occasionally and write its numerical
value. The first step in this process is to convert the continuous
quantity to digital form and then to print the digital quantity
by one of the methods described in Sec. 15-5-1. In the first
MIT differential analyzer, for example, the output was on a
mechanical counter with a printing wheel on the dials. At
discrete intervals, a paper was pressed against these continuously
rotating wheels, and a slightly blurred print of the representative
numbers was obtained. The top speed of the commercial con-
tinuous-input, Veeder-Root counters with printing wheels is
17 counts per second. In the later model of the MIT differential
analyzer, a bank of rotary counter switches is used to operate an
electric typewriter, and a record of shaft position is typed from
time to time.
15-6. Radix Converters
It may be recalled from descriptions of various arithmetic
elements that circuits are more simple for arithmetic operations in
the binary system than in the decimal system. Furthermore,
most of the digital computing elements which have been used to
date are employed in an on-off, or binary, fashion. Binary
numbers, however, have more than three times as many digits
as decimal numbers and are much less convenient for human
operators to deal with. Therefore, it is usually desirable to have
operators enter decimal numbers into a machine. Some thought
has been given to the use of octal numbers at the input of a
machine because of the ease of converting them to binary form.
In any case, unless the operator inserts binary numbers, a change
in radix takes place at some level in a digital computer.31
In the Harvard Mark I and the ENIAC, decimal arithmetic is
performed, and the only radix conversion is at the switches and
flip-flops, which represent the decimal digits in a binary manner.
In the Harvard Mark II, the UNIVAC, and other computers,
each decimal digit is represented by a group of four binary digits.
Such a system is known as a coded-decimal system. A method of
DATA-CONVERSION EQUIPMENT 411
conversion of decimal numbers to a binary-coded system is
described on page 289.
This section includes a discussion of three types of radix
conversion used in present or contemplated computers. They
are the decimal-to-binary and binary-to-decimal conversion,
using binary equipment, and the coded-decimal conversion.
15-6-1. Decimal-to -binary Conversion Using Binary-arith-
metic Elements. In the conversion of decimal numbers to
binary numbers, the process varies somewhat depending upon
whether the numbers are whole numbers with no fractional part,
are fractional numbers with no whole part, or are a combination
of the two. However, the general idea of the process is illus-
trated by a single case.
To convert whole decimal numbers to binary form using binary
equipment, one might first find the binary equivalent of each
digit. This process can be performed in a matrix similar to the
one illustrated in Fig. 4-36 on page 43 and described as an octal-
to-binary converter. Each digit might then be multiplied by
the binary notation for 10 a number of times corresponding to
the power of 10 with which it was associated in the original
decimal number, and all the products summed. For example,
to convert 132 to binary form, the digits are first converted to
0,001, 0,011, and 0,010, respectively. The first of these is next
multiplied twice by binary 10, or 1,010, the second once, and the
third not at all. The resulting numbers are 1,100,100, 11,110,
and 0,010, which are added to produce 10,000,100, which is the
binary expression for 132.
Since the only two arithmetic steps required to accomplish this
conversion are multiplication by 1,010 and addition, a complete
arithmetic unit is not actually required to perform this work.
Therefore, either the automatic conversion of input data can be
accomplished in the arithmetic unit of the machine at the expense
of some computing time or it can be accomplished in a pre-
liminary conversion unit at the expense of some extra equipment.
In a modern computer, the time lost in the first case usually will
be negligible.
If the conversion is accomplished in a separate unit previous
to the time when the problem is to be solved, there is a possi-
bility of checking input data after conversion, thereby checking
the conversion process as well as the operator.
412 PHYSICAL COMPONENTS AND METHODS
15-6-2. Binary-to-decimal Conversion Using Binary-arith-
metic Elements. To convert a whole binary number to the
decimal system, it is necessary only to divide successively by
1,010, the binary equivalent of 10, and to convert the remainders
to decimal digits in a matrix which is the inverse of the one
required to convert from decimal to binary form. As an illus-
tration, consider the transformation of the binary number
10,000,100 into the decimal system. The form of the division
required is as shown :
1101
)|10000100
1010
1101
1010
1100
1010
0010 Remainder
1
1010|1101
1010
0011 Remainder
0
ioioJi
0
0001 Remainder
The three remainders are arranged in inverse order and converted
to decimal notation with another matrix circuit similar to the
one illustrated in Fig. 4-3a on page 42. Thus 0,001, 0,011,
0,010 becomes 132, which may be recognized as the original
decimal number.
Again, only a limited amount of arithmetic equipment is
required to perform the conversion, so there is a choice to make
between programming the conversion through the main arith-
metic unit or providing a converter in the output of the computer.
Since the problem is again one of equipment economy versus
economy of time, the method of solution chosen will depend on
DATA-CONVERSION EQUIPMENT
413
both the type of problem which the computer is expected to
solve and on the computer development budget.
15-6-3. Coded-decimal Converters. When a coded-decimal
system is used, the conversion process is shorter by one step than
a binary-decimal conversion. Since each decimal digit is
B +
X
X
X
X
\-\
VX
x
x.
x
x~x
x~x
x
\~x
X
X
\-x.
X
X.
\
X
X
X
ON OFF ON OFF ON OFF ON OFF
ORDER DIGIT 4 3 2 1
Fig. 15-5. Diode matrix for converting from decimal to excess-3 coded
decimal notation.
represented by a four-digit binary number, the conversion may
be made on a simple matrix arranged to give the coded-decimal
equivalent of each digit in a decimal number. A converter of
this type is illustrated in Fig. 15-5.
The switch at the left-hand side of Fig. 15-5 is set on the
decimal digit 5. According to the diode current-flow convention
adopted in this text, this position of the input switch causes the
positive voltage supply to be grounded through the resistor
labeled 1, of the left-hand pair at the top of the diagram. This
414 PHYSICAL COMPONENTS AND METHODS
signifies that the fourth-order binary digit of the number into
which 5 is to be converted is 1. Of the second pair of resistors at
the top of the diagram, representing the third-order binary digit,
the one labeled 0 is grounded. Hence, the third-order digit is 0.
Similarly, in both remaining pairs the 0 side is grounded. The
binary representation is therefore 1000. This is the binary
representation for 8 and is therefore the proper representation
for the decimal number 5 in an exccss-3 code. A study of the
matrix shown in Fig. 15-5 will demonstrate to the reader that if
any of the other input switch positions is selected a different
binary number will be represented and each of these binary num-
bers will be the proper representation of the number on which the
10-position switch is set, plus 3.
It may be of interest to compare this matrix with those shown
in Figs. 4-3a and 4-36 on pages 42 and 43.
There are other systems for coding decimal numbers in binary
notation. The excess-3 code has been used as an example of one
of these methods. It is the method of number representation
used in the UNIVAC.
15-7. Speed-changing Devices
From a consideration of the numerous forms of data which are
suitable for computations, it is evident that data may be gen-
erated at vastly different speeds. Likewise, in a computer,
certain operations can be performed faster than others. The
most efficient machine design for the handling of a given problem
is one which allows a continuous flow of data from beginning to
end. This may require parallel operation of some of the slower
units so that data may be treated as rapidly as in a faster unit.
It may also require the use of intermediate storage mediums on
which to store the data until time for the next operation. Data
may be accumulated on some of these mediums at one rate of
speed and released at another.32-34
A situation in which speed changing is obviously needed is
the entry of manually prepared data into a high-speed machine.
If several operators can prepare storage mediums for relatively
high-speed automatic entry of data into the computer, a great
deal of machine utilization time can be saved. Likewise, if the
computation results are temporarily stored on an intermediate
medium which can be removed from the machine, the data may
DATA-CONVERSION EQUIPMENT 415
be transcribed manually or automatically at a suitable rate
without interfering with machine operation on a new problem.
Several transcribers can then operate on the mediums simul-
taneously, thus providing compensation for the difference in
speed between the output of data and printing. Also, use of
intermediate storage mediums allows problem preparation at
various locations; the problems may then be sent to a central
location for actual computation.
15-7-1. Punched Cards and Punched Tape. Cards and tape
may be punched by several operators simultaneously and then
fed into an automatic device at top automatic speed. Their
top speed, however, is somewhat low in comparison with the
operating speed of an electronic computer. For example,
punched cards are fed into the ENIAC only at the rate of one
every half second, but arithmetic operations can be performed on
the data in a few milliseconds. In problems which require a
large number of arithmetic steps after each unit of data is
inserted, this mismatch in speed might not be a great handicap.
(As indicated in Sec. 10-3-1, the ENIAC, as currently used, is
not limited by its card-handling speed.)
In the Bell Telephone Laboratories machines which use tele-
type tape as the input medium, a seven-digit decimal number,
or command, may be entered into the machine in 0.2 second,
added in 0.3 second, and multiplied in 1.0 second. It has been
found from experience that numbers usually reach the machine
at about the proper rate, but the input of commands is somewhat
slow. This indicates roughly that input time should be about
one-fifth of a multiplication time.
15-7-2. Magnetic Mediums. Several characteristics of mag-
netic mediums make them desirable for use with speed changers.
Data may be recorded on them at low speeds and removed at
fairly high speeds, and they can be erased and used over and over
again. The original cost and volume per digit is relatively low,
and it is easy to correct errors made by operators in preparing
magnetic mediums. One disadvantage in their use is the extra
equipment required to read from magnetic mediums when they
are moved at low speeds.
It is estimated that a 10-digit decimal number could be entered
into a machine from magnetic mediums in 2 milliseconds and
that numbers could be recorded on the tape at the same rate.
416 PHYSICAL COMPONENTS AND METHODS
15-7-3. Photographic Film. Like magnetic mediums, photo-
graphic film is another medium which can be recorded on at
either a fairly high speed or a low speed and can be read over a
similar range of speeds. Also, it is commercially available in
several widths; driving equipment is well developed; and data
can be stored compactly. Since it can be used only once and
since it is fairly expensive to supply and process, its use seems to
be most suitable in places where it will be referred to repeatedly.
Thus, film might be used to provide rapid access to tables of
functions. Film is also interesting as an output medium because
decimal numbers written on it at high speeds can be printed on
photographic paper in the form of tables of output data. It is
also versatile in that continuous curves as well as numbers may
be recorded.
REFERENCES
Mechanical Counters
1. Bush, V., A New Type of Differential Analyzer, Journal of the Franklin
Institute, Vol. 240, No. 4, pp. 292-295 (October, 1945).
2. Murray, F. J., The Theory of Mathematical Machines (King's Crown
Press, New York, 1948), pp. I-1-I-9.
Film-type Converters
3. Jones, F. D., Ingenious Mechanisms for Designers and Inventors, (Indus-
trial Press, New York, 1936), Vol. I, pp. 71-77, Vol. II, pp. 164-188.
Pulse Code Modulation
4. Black, H. S., and J. O. Edson, Pulse Code Modulation, Transactions
of the American Institute of Electrical Engineers, Vol. 66, pp. 895-899
(1947).
5. Carbrey, R. L., Decoding in P. CM., Bell Laboratories Record, Vol.
XXVI, No. 11, pp. 451-455 (November, 1948).
6. Goodall, W. M., Telephony by Pulse Code Modulation, Bell System
Technical Journal, Vol. XXVI, No. 3, pp. 395-409 (July, 1947).
7. Greig, D. D., Pulse-Count Modulation, Electrical Communications,
Vol. 24, No. 3, pp. 287-296 (September, 1946).
8. Meachan, L. A., and E. Peterson, An Experimental Multi-Channel
Pulse Code Modulation System of Toll Quality, Bell System Technical
Journal, Vol. XXVII, pp. 1-43 (January, 1948).
9. Oliver, B. M., J. R. Pierce, and C. E. Shannon, The Philosophy of Pulse
Code Modulation, Proceedings of the Institute of Radio Engineers, Vol.
36, No. 11, pp. 1324-1331 (November, 1948).
10. Sears, R. W., Electric Beam Deflection Tube for Pulse Code Modula-
tion, Bell System Technical Journal, Vol. XXVII, pp. 44-57 (January,
1948).
DATA-CONVERSION EQUIPMENT 417
11. Unsigned, Coded Pulse Modulation Minimizes Noise, Electronics,
Vol. 20, No. 12, pp. 126-131 (December, 1947).
Rotation Converters
12. Brown, G. S., and D. P. Campbell, Principles of Servomechanisms
(John Wiley & Sons, Inc., New York, 1948).
13. Bush, V., A New Type of Differential Analyzer, Journal of the Franklin
Institute, Vol. 240, No. 4, pp. 292-295 (October, 1945).
14. Hall, A. C, Applications of Circuit Theory to the Design of Servo-
mechanisms, Journal of the Franklin Institute, Vol. 242, No. 2, pp.
279-307 (October, 1946).
15. Sobczyk, Andrew, Stabilization of Carrier Frequency Servomechanisms,
Journal of the Franklin Institute, Vol. 246, No. 1, Nos. 2 and 3; Part I:
pp. 21-43; Part II: pp. 95-121; Part III: pp. 187-213 (July, August,
September, 1948).
Conversion of Data from Written to Automatic Digital Form
16. Bush, G. L., Photoelectric Transmitting Typewriter, Electronics, Vol.
20, No. 4, pp. 96-99 (April, 1947).
17. Dudley, H., Remaking Speech, Journal of the Acoustical Society of
America, Vol. 11, p. 169 (May, 1939).
18. Dvorak, A., There Is a Better Typewriter Keyboard, National Business
Education Quarterly, Vol. XII, No. 2, pp. 51-58 and 66 (December,
1943).
19. Hasley, R. J., and J. Swaffield, Analysis Synthesis Telephony with
Special Reference to the Vocoder, Journal of the Institution of Electrical
Engineers, Vol. 95, Part III, pp. 391-410 (September, 1948).
20. Watson, E. F., Fundamentals of Teletypewriters Used in the Bell
System, Bell System Technical Journal, Vol. 17, pp. 620-639 (October,
1938).
Conversion of Data from Written to Automatic Analog Form
21. Greenwood, Holdam, and MacRae, Electronic Instruments, Radiation
Laboratory Series (McGraw-Hill Book Company, Inc., New York, 1948),
pp. 362-372.
22. Hazen, H. L., J. J. Jaeger, and G. S. Brown, Automatic Curve Follower,
Review of Scientific Instruments, Vol. 7, pp. 353-357 (September, 1936).
23. Walther, A., Development of Mathematical Instruments in Germany
1939-1945 (translated by British Naval Gunnery Mission). Pamphlet.
Transcription from Automatic Digital to Written Numerical Form
24. Burnett, C. E., The Monoscope, RCA Review, Vol. 2, pp. 414-420
(April, 1938).
25. Fuller, Harrison W., The Numeroscope, Annals of the Computation
Laboratory of Harvard University, Vol. XVI, pp. 238-247 (1948).
26. Fuller, H. W., Numeroscope for Cathode Ray Printing, Electronics,
Vol. 21, No. 2, pp. 98-102 (February, 1948).
418 PHYSICAL COMPONENTS AND METHODS
27. Mansbcrg, II. P., A New, Versatile Camera for the Cathode Ray Oscillo-
graph, Oscillographer, Vol. 10, No. 4, pp. 6-8 (October-December, 1948).
28. Sparks, S., and R. G. Kreer, Tape Relay System for Radio-Telegraph
Operation, RCA Review, Vol. 8, No. 3, pp. 393-426 (September, 1947).
29. Zworykin, V. K., and G. A. Morton, Television (John Wiley & Sons,
Inc., New York, 1940), p. 327.
Transcription from Automatic Analog to Written Form
30. Kane, J. L., Conversion of Brown Recorder, unpublished report (Douglas
Aircraft Co., Inc., El Segundo, Calif., September, 1947).
Radix Converters
31. Mauchly, John W., Theory and Techniques for the Design of Electronic
Digital Computers, Vol. Ill (Moore School of Electrical Engineering,
University of Pennsylvania, Philadelphia, June, 1948), pp. 25-1-25-8.
Speed-changing Devices
32. Alexander, S. N., Input and Output Devices for Electronic Digital
Computing Machinery, Annals of the Computation Laboratory of Harvard
University, Vol. XVI, pp. 248-253 (1948).
33. Alt, F. L., A Bell Telephone Laboratories Computing Machine, Mathe-
matical Tables and Other Aids to Computation, Vol. Ill, No. 21, pp. 1-13
(January, 1948).
34. Sheppard, C. Bradford, Transfer between External and Internal
Memory, Annals of the Computation Laboratory of Harvard University,
Vol. XVI, pp. 267-273 (1948).
CHAPTER 16
SPECIAL TECHNIQUES AND EQUIPMENT FOR POSSIBLE
USE IN COMPUTING SYSTEMS
16-1. Introduction
As problems of greater complexity are presented for solution
on high-speed computers, the question arises as to what speeds
and improvements in computing techniques can be expected in
the future. To a large extent the answer to this question depends
upon how well the components and techniques of other fields
of endeavor can be utilized in computing systems. Although
it is difficult to predict the exact trend of future development in
automatic computing, it seems clear that higher pulse rates are
desirable and that greater simplicity, reliability, and tube
economy will be sought. Attempts are also being made to find
dependable elementary potential digital computing components
and storage mediums which have more than two stable states
so that arithmetic operations with radices higher than 2 can be
performed in a straightforward manner. Success in these
attempts will increase the capacity of storage mediums and may
possibly increase the speed of computation.
16-2. New Techniques
Digits are stored in sonic delay lines as pulses of a high-
frequency carrier voltage. Likewise, if low-velocity waveguides
are used as a storage medium, an ultrahigh-frequency carrier
voltage is required. It may be convenient to transfer digits
through other sections of a computer as high-frequency pulses.
This practice is followed in television and in radar receivers,
where pulses are partially amplified in intermediate-frequency
amplifiers rather than totally in video amplifiers, since the inter-
stage coupling problem is less complicated for an amplifier of
30 + 5 megacycles than for an amplifier with half the band
pass yet requiring d-c amplification. The cost advantage of
high-frequency components in comparison with video circuit
419
420 PHYSICAL COMPONENTS AND METHODS
components may be increased when printed-circuit techniques
are developed further. Also, high-frequency circuits are more
convenient when band-pass characteristics are desired.
The field of wide-band-amplifier design has recently had some
special developments, of which the distributed amplifier is an
example. This type of amplifier has many operational features
in common with the traveling-wave tube, which is discussed
below. However, it is different in that it uses standard com-
ponents. When amplifier tubes are cascaded in the conventional
manner, the shunt capacities of parallel tubes increase in the
same ratio as the gain. Therefore, it is not possible to realize a
gain-bandwidth product which is any greater than that of a
single tube. In other words, as more tubes are added, gain is
increased at the expense of bandwidth. In distributed amplifiers,
the tubes are separated by inductances, and the resulting system
simulates a transmission line. As a result, the gains of the tubes
are increased and the distributed capacities are not. Therefore,
the bandwidth of the whole amplifier can approach the figure of
merit, or unit gain bandwidth, of a single tube.
A development-type amplifier employing 14 tubes has a gain
of 18 decibels over the frequency band of 0 to 200 megacycles.
An extension of this technique may be applicable to computing
circuits.
The degree of compactness with which large numbers can be
represented is a function of the radix of the number system being
used. The largest number n which can be represented with a
digits of radix r is r° — 1. Since a given number can be repre-
sented by a smaller number of digits in a larger radix system,
there is a resulting saving in time when the higher radix number
is stored in serial storage, and a resulting saving in number of
channels when the number is stored in parallel channels. A
saving of 58 per cent can be gained in going from a binary to a
ternary system. A smaller percentage gain is realized in going
from a radix 3 to a radix 4 system.
One means of increasing the radix of computing components is
to represent individual digits by corresponding frequencies. For
engineering convenience, those frequencies might be chosen
which could be stored directly in the storage medium. This
system is also interesting because some of the elementary arith-
metic operations may be accomplished by beating frequencies
SPECIAL TECHNIQUES AND EQUIPMENT 421
together. It also has the advantage that components which
are essentially video amplifiers in on-off pulse techniques may
be replaced with elements which are similar to intermediate-
or high-frequency amplifiers. A certain amount of back-
ground development has already been done in frequency-shift
telegraphy.1,3'4
It is interesting to note that the increase in access time and
storage capacity of a medium by use of higher radix frequency-
shift methods is at the expense of greater bandwidth in the storage
medium and the computing circuits. Recent developments
indicate that it may be easier to develop circuits with greater
bandwidth than to increase the cycling rate of an EPDCC such
as a flip-flop circuit.
16-3. Special Electronic Tubes and Crystals
The electronic elements described in this section are of interest
as high-frequency amplifiers and as means for increasing the
simplicity, economy, and dependability of circuits.
16-3-1. The Traveling-wave Tube. An electronic tube has
recently been developed at the Bell Telephone Laboratories6,7
which provides amplification over a very wide band of fre-
quencies. The amplification results from the interaction
between an electron beam and a slowly moving electromagnetic
field. The field is produced by a helical transmission line; the
phase velocity of the field is reduced to about one-thirteenth
the velocity of light. The property of helical delay lines to
reduce phase velocity was discussed on page 351. The electron
beam in the tube is passed along the axis of the helix at a velocity
slightly higher than that of the field, and energy is transferred
from the electron stream to the traveling field. In an early
model5 an input signal was amplified 23 decibels as it traversed
the length of the helix. The helical line replaces the resonant
circuits in conventional high-frequency amplifiers, and, as a
result, the bandwidth for a 3-decibel decrease in amplification is
800 megacycles at a mean frequency of 3,000 megacycles.
16-3-2. Klystrons. Another high-frequency tube, the kly-
stron, has been used extensively as a local oscillator in microwave
radio and radar receivers. 8'9,11'12 In the klystron an electro-
magnetic field is produced in a resonant cavity; the velocity of
an electron beam traversing the cavity is modulated by bunching
422 PHYSICAL COMPONENTS AND METHODS
electrodes so that the beam of electrons is bunched to form
current pulses. The dimensions are of the order of a wavelength
at the frequencies handled, so that conventional klystrons
become inconveniently large at frequencies much below 1,000
megacycles. Klystrons may be used as voltage amplifiers,
power amplifiers, and oscillators with relatively high efficiency
and power-handling capacity. Some recent work on klystrons
used as generators of very short pulses has resulted in pulses of
adjustable duration as low as 0.2 millimicrosecond.10 The
experiments were performed at a repetition rate of 210 megacycles
with a klystron in which the resonant cavity had been replaced
with a nonresonant line. With present-day circuits and produc-
tion methods it is difficult to utilize pulses of duration shorter
than 0.1 microsecond in computers, but the full capabilities of
the klystron pulse generator may become useful in computers
as pulse-handling techniques are improved.
16-3-3. Miniaturized Tubes. Counterparts for most of the
common radio receiving tubes are now manufactured in miniature
form.14 These miniature tubes occupy about three-tenths the
volume of conventional tubes of similar type and make possible
a considerable reduction in size and weight of electronic equip-
ment. Miniature tubes seem to be dependable and as well
suited to computer systems as the larger tubes.
Another group of tubes called subminiatures has been devel-
oped. The diameter of these tubes is approximately that of
an ordinary lead pencil, and flexible leads are used rather than
base pins. The tubes are available in both the filament and the
cathode types. A typical application is found in the modern
hearing aid.
Manufacturers' catalogs of miniature tubes are available,15
and a complete list of subminiature tubes has been compiled
by the Signal Corps.13 Miniature tubes are manufactured by
RCA, Raytheon, and Sylvania; subminiature tubes are manu-
factured by Raytheon, Sylvania, and Sonotone.
16-3-4. Transistor. A new type of amplifier called the tran-
sistor was recently announced by the Bell Telephone Labora-
tories.16-18 It seems likely that this device will simplify com-
puter circuits considerably. The transistor is similar to the
crystal rectifier which was described in Chap. 3 and consists of a
block of germanium crystal with which two cat whiskers of
SPECIAL TECHNIQUES AND EQUIPMENT 423
2-mil tungsten wire are in contact. These two wires are spaced
2 mils apart and form one side of the input and the output
circuits, respectively. The germanium crystal is at the common
connection between input and output. A gain of 20 decibels
at 25 per cent efficiency was measured on the model announced.
The transistor has an input impedance which is only 1 per cent of
its output impedance, so that interstage coupling must necessarily
differ from that used in vacuum-tube circuits. Transit time
establishes a top frequency limit of about 10 megacycles for the
transistor.
The advantages of this element are its small size, low power
drain, sturdy construction, long life, and cool operation. It will
probably be competitive with the electron tube in total cost per
stage.
16-4. Amplitude- and Frequency-discrimination Circuits
The action of the gates, flip-flops, and relays which have
been discussed previously depends upon the ability of these units
to discriminate between low-level spurious voltages and high-
level signals.22 The units heretofore described discriminate on
the basis of voltage amplitude. Equipment is also available
which discriminates on the basis of frequency.
The possibility of representing digits by discrete frequencies
is introduced in the second section of this chapter. In such a
system, it may be desirable to convert the carrier frequencies
into corresponding d-c voltage levels for arithmetic operations
such as those described in Sec. 13-4-4 on amplitude adders.
Conversion from frequency to voltage amplitude is accomplished
by means of a frequency discriminator.
Frequency discriminators were first used in conjunction with
automatic frequency controls and later in radio receivers using
frequency modulation. There are many competing methods of
frequency discrimination. 19_21,26 The better known of these
are the Seeley-Foster and the Armstrong methods. Recent
variations of the Seeley-Foster circuit are the ratio detectors,23,27
and a variable bandwidth discriminator developed at MIT.28
A discriminator which is used at microwave frequencies is
described by Pound.24-25 This discriminator makes use of two
waveguide arrangements known as magic T's and a cavity which
is resonant at the mid-frequency of the frequency-modulation
424 PHYSICAL COMPONENTS AND METHODS
signal. The cavity is not loaded, so that it may have a high Q.
The output of this discriminator is the difference in rectified
voltage at two points in the waveguide. The relative phase of
voltage received at these two points is such that the voltage
difference is a function of the applied frequency.
16-5. Frequency-stabilizing Systems
Computers using cyclic storage mediums require pulse-repeti-
tion-rate stabilization in order to preserve synchronization.
Accurately held high frequencies may be used to time lower
frequency pulse generators. Several circuits have been developed
which perform the function of maintaining microwave oscillators
at nearly constant frequency. One circuit, developed by Pound
at the MIT Radiation Laboratory,31-32 uses the microwave dis-
criminator described in the previous section as a frequency-
sensing device. The output of this discriminator is amplified
and applied to an electrode of the oscillator through a negative-
feedback loop, and the oscillator frequency is held near the
frequency of the resonant cavity in the discriminator.
Another such device, developed at RCA,30 employs the
spectral line of a gas as the frequency reference with which the
oscillator frequency is compared. The voltage output of a
comparison circuit is used in a negative-feedback, or servo,
loop to control the frequency of the oscillator. Multivibrator
step-down circuits can be used to obtain lower frequencies from
these high-frequency standards.29
16-6. Unconventional Circuit Fabrication
Interest in subminiature electronic equipment stems from its
extensive and successful use in certain war weapons. One of
these weapons, the VT fuse, was made in mass production using
techniques specially developed for rapid fabrication. Mass-
production methods known commonly now as printed-cir-
cuit techniques were used in making fuses for trench-mortar
shells.34 Interest in these methods has been displayed by the
electronic manufacturing industry, and subsequently exten-
sive development work to expand and improve these techniques
was undertaken.
16-6-1. Methods of Printing Circuits. Brunetti and Curtis34
have listed six general methods for the mass production of printed
circuits:
SPECIAL TECHNIQUES AND EQUIPMENT 425
1. Painting. A special conducting paint is applied to a
prepared ceramic surface placed under a stencil. It is
possible to wire the circuit components as well as to create
the components with conducting paint. For example, a
certain deposited thickness, width, and length of a special
resistor paint may be made to represent a given value of
resistance, while a change of any of the dimensions or of
the paint itself may be made to represent a value different
from the first. It is possible to print inductances and some
capacitors by an extension of this method.
2. Spraying. This method is similar to the painting technique
discussed above with the exception that the coatings are
sprayed on the ceramic plate placed under the circuit
stencil.
3. Chemical deposition. It is possible to construct an elec-
tronic circuit by electrolysis. The wiring is in the form
of a metallic deposit on the special ceramic plate.
4. Vacuum process. Less used but interesting techniques for
printing circuits are those of cathode sputtering and
metallic evaporation.
5. Die-stamping. This method allows the interconnecting
wires of the circuit and some high-frequency inductances
to be die-punched out of a solid sheet.
6. Dusting. The metallic conductors may be dusted with a
small brush onto a ceramic plate under a stencil and then
fused on the surface.
16-6-2. Examples of Commercially Available Units. A typical
example of the commercial application of the printed circuit is to
be found in a subminiature audit) amplifier called the Ampec.
This unit is available in production quantities from the Centralab
Division of the Globe Union Co., Inc., Milwaukee, Wisconsin.
The Ampec is a three-tube amplifier consisting of two voltage
amplifiers followed by a power amplifier. The unit does not
include the volume control, output transformer, or battery
power unit; it is fabricated with printed-circuit techniques entirely
and measures 2.250 inches long, 1.15 inches wide, and weighs 0.63
ounce. This unit has a voltage gain of 4,000 when used with a
30-volt plate battery and a 1.5-volt filament cell. The plate-
battery drain is approximately 1 milliampere and the filament
drain is 40 milliamperes. Although the unit is somewhat micro-
426 PHYSICAL COMPONENTS AND METHODS
phonic, it is used extensively as the basic unit for several
commercial hearing aids.
The manufacturers of the Ampec have also made available
printed-circuit-component combinations, such as interstage
coupling units, that save space in the more conventional radio
applications.
Another printed-circuit technique which has been greatly
emphasized is the die-stamping process. The Franklin Corpora-
tion manufactures an inductance loop stamped out of sheet
copper which serves as a high-Q tuned element of the table-
model radio receivers.
16-6-3. Features of Printed Circuits. The major features of
printed-circuit techniques are (1) size reduction, (2) uniformity,
and (3) economy for large numbers of units.
Size reduction has been made possible by printed circuits
to the extent that the volume occupied by the wiring and sup-
porting plate is only a small percentage of the total volume of
the unit. The development of truly subminiature units is
dependent not upon further size reduction in circuitry but
rather upon the development of smaller inductors, transducers,
and power supplies.
The application of the printed-circuit technique to the fabrica-
tion of electronic equipment has placed the manufacture of
this equipment in the true mass-production class, where machine
operations can be accurately controlled and the human errors
generally encountered in wiring work can be minimized.
A great advantage in the use of printed circuits is the con-
siderable reduction in man-hours required to fabricate the units.
A further saving is made in the man-hours of inspection time
required to check the work. Obviously, the printed-circuit
technique requires specialized and complicated manufacturing
equipment to fabricate printed-circuit assemblies. The expense
involved for such equipment is not justified for small quantities;
large production schedules are necessary before the techniques
can be profitably applied.
16-6-4. Plug-in and Potted Circuits. The fabrication of
printed-circuit subassemblies suggests the use of plug-in units
for these assemblies. Tests made at the Bureau of Standards
showed that it was possible to pot printed circuits in a special
casting resin in such fashion as to permit the plugging in of the
SPECIAL TECHNIQUES AND EQUIPMENT 427
complete subassemblies. By the use of special resins, the fre-
quency of operation of the printed circuit may be extended into
the ultrahigh-frequency region without a noticeable decrease in
efficiency owing to the enclosure in the casting resin. The use
of casting resins, however, requires critically controlled condi-
tions, and consequently mass production of potted plug-in units
depends upon the development of complex process controls.
REFERENCES
Improved Techniques
1. Darey, J. R., and A. L. Matte, Frequency Shift Telegraphy — Radio and
Wire Applications, Bell System Technical Journal, Vol. 27, No. 2, pp.
265-304 (April, 1948).
2. Ginzton, Edward L., et al., Distributed Amplification, Proceedings of the
Institute of Radio Engineers, Vol. 136, No. 8, pp. 956-969 (August, 1948).
3. Hatfield, L. E., Frequency Shift Radio Transmission, Proceedings of the
Institute of Radio Engineers, Vol. 36, No. 1, pp. 116-120 (January, 1948).
4. Vanderlippe, R. A., Frequency Shift Radio Teletype in World War II,
Bell Laboratories Record, Vol. XXV, No. 4, pp. 442-446 (December, 1947).
Traveling-wave Tubes
5. Kompfner, Rundolf, The Traveling Wave Tube as Amplifier at
Microwaves, Proceedings of the Institute of Radio Engineers, Vol. 35,
No. 2, pp. 124-127 (February, 1947).
6. Pierce, J. R., and L. M. Field, Traveling Wave Tubes, Proceedings of
the Institute of Radio Engineers, Vol. 35, No. 2, pp. 108-110 (February,
1947).
7. Pierce, J. R., Theory of the Beam Type Traveling Wave Tube, Proceed-
ings of the Institute of Radio Engineers, Vol. 35, No. 2, pp. 111-123
(February, 1947).
Klystrons
8. Hamilton, D. R., J. K. Knipp, and J. B. H. Kuper, Klystrons and
Microwave Triodes, Radiation Laboratory Series, Vol. 7 (McGraw-Hill
Book Company, Inc., New York, 1948).
9. Harrison, A. E., Klystron Oscillators, Electronics, Vol. 17, No. 11, pp.
100-107 (November, 1944).
10. Hasted, J. B., Milli-Microsecond Pulse Generation by Electron Bunch-
ing, Proceedings of the Physical Society, Vol. 60, p. 397 (Apr. 1, 1948).
11. Pierce, J. R., and W. G. Shepherd, Reflex Oscillators, Bell System Techni-
cal Journal, Vol. 26, No. 3, pp. 460-682 (June, 1947).
12. Varian, R. H., and S. F. Varian, A High Frequency Oscillator and
Amplifier, Journal of Applied Physics, Vol. 10, No. 5, pp. 321-327
(May, 1939).
428 PHYSICAL COMPONENTS AND METHODS
Miniaturized Tubes
13. Evans Signal Laboratory, Handbook of Subminiature Tubes (Signal Corps
Engineering Laboratories, Bradley Beach, N.J., July, 1947).
14. Green, N. H., Miniature Tubes in War and Peace, RCA Review, Vol. 8,
No. 2, pp. 331-341 (June, 1947).
15. Radio Corporation of America, RCA Quick Reference Chart Miniature
Tubes (RCA Tube Department, Harrison, N.J.).
Transistor
16. Bardeen, J., and W. H. Brattain, The Transistor, A Semi-Conductor
Triode, Physical Review, Vol. 74, No. 2, pp. 230-231 (July 15, 1948).
17. Becker, J. A., Transistor Characteristics, Electronics, Vol. 22, No. 1, p.
132 (January, 1949).
18. Fink, D. G., and F. H. Rockett, The Transistor— A Crystal Triode,
Electronics, Vol. 21, No. 9, pp. 68-71 (September, 1948).
Amplitude- and Frequency-discrimination Circuits
19. Barco, A. A., C. M. Kimball, and S. W. Seeley, Generation and Detec-
tion of FM Waves, RCA Review, Vol. VI, No. 3, pp. 269-286 (January,
1942).
20. Crosby, M. G., Communication by Phase Modulation, Proceedings of
the Institute of Radio Engineers, Vol. 27, No. 2, pp. 126-131 (Feburary,
1939).
21. Foster, D. C, and S. W. Seeley, Automatic Tuning, Simplified Circuits,
and Design Practice, Proceedings of the Institute of Radio Engineers,
Vol. 25, No. 3, p. 289 (March, 1937).
22. Lewis, W. B., Electrical Counting (The Macmillan Company, New
York, 1943), pp. 71-76.
23. Maurice, D., and R. J. H. Slaughter, F. M. Comparison Test between
Phase Discriminator and Ratio Detectors, Wireless World, Vol. 54, pp.
103-106 (March, 1948).
24. Pound, R. V., Microwave Mixers, Radiation Laboratory Series, Vol. 16
(McGraw-Hill Book Company, Inc., New York, 1948), pp. 190-231.
25. Roder, Hans, Theory of the Discriminator Circuit for Automatic
Frequency Control, Proceedings of the Institute of Radio Engineers, Vol.
29, No. 5, pp. 590-596 (May, 1938).
26. Seeley, S. W., Balanced Phase Shift Discriminators, RCA Licencee
Bulletin LB-611 (Mar. 15, 1946), RCA Licencee Bulletin LB-645 (Sept.
15, 1945).
27. Terman, F. E., Radio Engineers' Handbook (McGraw-Hill Book Com-
pany, Inc., New York, 1943), pp. 585-588.
28. Tuller, W. G., and T. P. Cheatham, Jr., Adjustable Band with FM
Discriminator, Electronics, Vol. 20, No. 9, pp. 117-119 (September,
1947).
Frequency-stabilizing Circuits
29. Davis, K. H., Multivibrator Stepdown by Fractional Ratios, Bell
Laboratories Record, Vol. XXVI, No. 3, pp. 114-118 (March, 1948).
SPECIAL TECHNIQUES AND EQUIPMENT 429
30. Hershberger, W. D., and L. W. Norton, Frequency Stabilization with
Microwave Spectral Lines, RCA Review, Vol. 9, No. 1, pp. 38-49 (March,
1948).
31. Pound, R. V., Frequency Stabilization of Microwave Oscillators, Pro-
ceedings of the Institute of Radio Engineers, Vol. 35, No. 12, pp. 1405-1415
(December, 1947).
32. Tuller, W. G., Recent Developments in Frequency Stabilization of
Microwave Oscillators, Proceedings of the Institute of Radio Engineers,
Vol. 36, No. 6, pp. 794-800 (June, 1948).
Unconventional Circuit Fabrication
33. Brunetti, C, and W. S. Hinman, Radio Proximity Fuse Design, Journal
of Research of the National Bureau of Standards, RP 1723, Vol. 37, pp.
1-13 (July, 1946).
34. Brunetti, Cledo, and Roger W. Curtis, Printed Circuit Techniques,
Proceedings of the Institute of Radio Engineers, Vol. 36, No. 1, pp. 121-
165 (January, 1948).
35. Greenwood, Holdam, and MacRae, Electronic Instruments, Radiation
Laboratory Series, Vol. 21 (McGraw-Hill Book Company, Inc., New
York, 1948), pp. 700-704.
CHAPTER 17
FACTORS AFFECTING CHOICE OF EQUIPMENT
17-1. Introduction
This chapter is concerned with the means by which computing
equipment may be made accurate and reliable; there is also
presented here a summary of the capacity and cost of storage
mediums and an approximation of the storage, reading, and writ-
ing times to be expected. Although there are other factors
affecting the choice of equipment, these cannot be summarized
readily and are implicit in the foregoing discussion of equipment
characteristics. Furthermore, the high-speed computing art
is not in a mature enough state to allow an extensive comparison
of equipment which has been thoroughly tested. However,
the following material should indicate the orders of magnitude
involved, and the degree of complexity required to meet given
equipment specifications.
17-2. Reliability of Components
The operating time of a large-scale computer is very valuable;
occasional failures, therefore, are expensive as well as annoying.
There are at least two approaches to the problem of reducing
equipment failure during operation. One method is to make
each component so reliable that it will last longer than the period
decided upon as the useful life of the equipment. Although it
is difficult to guarantee absolute reliability, if the statistical life
expectancy of the component is projected far enough into the
future, the actual rate of failure should prove fairly low during,
the early years of machine operation. As a second approach,
means may be taken to extend as far as possible the operating
period of equipment considered to have a limited life expectancy
and to detect incipient failures before they occur.
It is not enough to life-test one or two models of a component
under normal operating conditions to determine whether or not
it is suitable for use in a computer. It is necessary as well to
430
FACTORS AFFECTING CHOICE OF EQUIPMENT 431
ascertain that when manufactured parts are used together, any
part having a value within the manufacturing tolerance range
will work reliably with any combination of other components
which are also within the prescribed range. Since it is imprac-
tical to test all possible combinations of values during design,
circuits should operate with large factors of safety for voltages,
pulse shapes, and repetition rates so that reasonable variations
in components will not affect operation adversely. Furthermore,
circuits should be designed so that failure of one unit does not
overload other units and also cause their eventual failure. This
condition may be difficult to carry out completely, but, at least,
interdependent parts should be assembled in units so that all
the parts which may be overloaded by the failure of one part are
located together and can be replaced by exchanging units. Inter-
changeable chassis are also desirable so that repairing and
periodic testing of units can be accomplished simultaneously
with normal operation.
There are important factors in the philosophy of circuit
design which also affect reliability. For example, time allow-
ance between operations should be adequate to ensure correct
sequences even when individual circuits lose their original
adjustment. Allowances should be made for variations in signal
voltages and in power-supply voltage. Direct coupling is often
required between stages so that coupling capacitors will not
become charged by large pulses and hold subsequent stages
conducting longer than desired. Some means of detecting an
instantaneous failure of the primary power source is required,
since such a failure might otherwise cause an undetected error.
The use of latch-type relays is desirable in a relay computer so
that values will be held during the period between a failure and
its repair. Finally, it should be recognized that many manu-
facturers do not supply life-expectancy data on mechanical
apparatus and that expensive tests may be required to get this
information.
In order to extend the life of individual components, thereby
increasing operational reliability, it is necessary to follow recog-*
nized design practices in each particular field. Mechanical
devices must be designed for good wearing qualities and with
adequate factors of safety in strength. Electrical apparatus,
likewise, must be used at voltages and currents well under rated
432 PHYSICAL COMPONENTS AND METHODS
values. Cooling equipment must be provided wherever required
in order to maintain safe temperatures in critical parts, and air
conditioning is advisable for relay computers in order to minimize
trouble from dust accumulations.
In order to present a comprehensive view of the types of
component failure which limit the reliability of large-scale
computer operation, a number of specific examples of com-
ponent failure are presented. Some of them have been taken
from the operational history of the ENIAC.
17-2-1. Vacuum Tubes and Crystals. It has been reported
that in the ENIAC the most common source of trouble is in the
18,000 vacuum tubes. Every tube in the machine undergoes a
routine operational check of some sort each week. The practice,
for example, is to test each of the several hundred three-tube
amplifiers each week as a unit and to replace all three tubes if
one of these amplifiers is not operating satisfactorily. During
the first eleven months of 1949 about 2,000 tubes were replaced
each month. About half of these were ac-tually bad at the time
they were replaced.
An attempt was made to increase the tube life in the ENIAC
by operating 6.3-volt filaments at 5.95 volts. Later tests indi-
cated that it may be better to use a value between 6 volts and
6.3 volts. The filaments are left turned on for as long a period of
time as possible, since several tube failures usually result from
turning the equipment on. A large number of failures have
resulted from open heaters, damaged cathodes, and near shorts
in the tube framework.3 It was found from examination of all
the tubes which failed that the failure rate was considerably
higher in tubes with folded filaments than in tubes with twisted
filaments. Experience also indicates that low-voltage filaments
last longer than high-voltage filaments of the same power rating.
For this reason manufacturers provide series filaments in twin
triodes of the industrial variety which are rated for a life of
10,000 hours.4
High plate-load resistances are used in the ENIAC in order
-to minimize the effect of changes in tube plate resistance. The
average tube has lost emission noticeably after approximately
9,000 hours of operation, but actual failure by this cause can be
minimized by replacing tubes periodically. It has been suggested
that provision be made in a computer to vary the voltage of the
FACTORS AFFECTING CHOICE OF EQUIPMENT 433
power supplies over a fairly wide range periodically. In this
manner a large percentage of the incipient failures in tubes
and other components could be made to occur.
In the ENIAC the operating frequency is varied, but not the
voltages.
The practice of replacing a large number of tubes at once has
the disadvantage that it may complicate subsequent trouble
shooting inasmuch as most of the tube failures occur either within
the first 250 hours of operation or after the 5,000th. The present
ENIAC operating staff is not in sympathy with a policy of
replacing a large number of tubes at once.
Characteristics other than those affecting the life expectancy
of electron tubes are equally important in considering the
reliability of these components. For example, in applications
where low-level voltages are to be amplified, as in the amplifiers
for the output of magnetic recording pickups, the microphonic
characteristics of tubes must be considered by the designer.
Crystal diodes have been tested by the Eckert-Mauchly Com-
puter Corporation under conditions typical of usage in electronic
computers. The results of these tests have shown that the
manufacturers' tests under other conditions are not necessarily
valid for computer use.
17-2-2. Capacitors. The capacitor is an electronic component
which is subject to deterioration and eventual failure.1 The
length of its life depends upon the applied voltage, the tempera-
ture, and the degree to which it is suited to its application. A
statistical rule has been determined which shows that the mini-
mum life to be expected of a group of capacitors before a large
number fails is proportional to some power of the ratio of the
applied voltage and the rated voltage. This exponent varies
between 4 and 6 for conventional capacitors. The minimum
life expectancy of capacitors is also a function of ambient tem-
perature which should be carefully estimated before voltage
ratings are established.
17-2-3. Resistors. The life expectancy of a resistor with a
given power rating depends upon the actual power dissipated
and the ambient temperature. The small resistors used in the
ENIAC are operated at approximately one-half rated power
and at a temperature of 110°F, as compared to about 100°F,
on which the rating is based.2 Wire-wound resistors are operated
434 PHYSICAL COMPONENTS AND METHODS
at about one-fifth rated value in order to decrease their operating
temperatures, and consequently the temperature to which nearby
equipment is subjected.
About 70,000 resistors are employed in the ENIAC, and not
more than five were known to have caused a machine failure in a
9,000-hour period of operation.
17-2-4. Fuses and Indicators. An individual fuse was used
for each power-supply voltage in the ENIAC. The fuses are
made by Western Electric and have a small switch which closes
when a fuse opens. These switches are used to turn off all high
voltages when one fuse goes out. In the IBM Automatic
Sequence Controlled Calculator, neon lights are used to indicate
shorted capacitors, open resistors, and low emission in tubes.
17-3. Possibilities for Checking
The ultimate goal in computer design is complete intrinsic
reliability. Checking, or the detection and location of errors,
should therefore be considered a means and not an end in itself.
Usable solutions to problems are obtained only when the equip-
ment is operating properly, and no amount of checking equipment
will procure a correct solution. Errors in computation may be
machine errors or operator errors, and checks are required for
each. The amount of checking equipment and the frequency
with which checks are programmed into the machine depend
primarily upon the reliability expected of the machine. When
errors are detected in the results, it is necessary to locate the
source of these errors and to eliminate their causes. The detec-
tion and location of errors are discussed in this section with
respect to both machine and human errors.
17-3-1. Machine Errors. A machine error may be caused by
either of two types of equipment failure: (1) an intermittent, or
(2) a persistent failure. The detection of components which
fail intermittently in conventional equipment may be very
difficult. In relay computers, for example, approximately 85 per
cent of the failures are intermittent. The majority of the failures
in the ENIAC also have been of the intermittent type.
Efficiency of operation of the ENIAC over any given time
interval is closely related to the number of intermittent failures
occurring during that interval.
FACTORS AFFECTING CHOICE OF EQUIPMENT 435
It has been estimated that the ENIAC is actually in useful
operation on problems about 50 per cent of the time and that,
allowing for a complete repetition of each problem, it therefore
turns out about one-fourth as many useful answers as could an
ideal, perfectly reliable, machine with the same basic mathe-
matical characteristics, which required no maintenance what-
ever. This is an excellent performance record.
In the Bell Telephone Laboratories machines, continuous auto-
matic checking is done at the level of the individual relay. This
is called low-level checking. In the ENIAC, checks are made of
solutions and partial solutions to problems, and this is termed
high-level checking. When a failure occurs in a Bell Telephone
Laboratories machine, all digital results are held in their respec-
tive relays until the trouble is cleared, whereupon the computer
continues to operate with the results obtained previously.
Operation of the ENIAC is so fast, however, that it was not felt
worth while to provide similar holding equipment, and results
are recalculated after a failure.
Several types of high-level checks have been worked out for
computing equipments,7 and they will be described briefly as
follows:
1. If a problem can be solved in two different ways in a com-
puter, agreement between two answers so obtained con-
stitutes a high-level check on the correctness of the solution.
2. A check on the equipment can be made by getting answers
to the problem in some way other than using the same
equipment. For example, part of a solution could be
worked out on a desk calculator, or perhaps solutions
to restricted cases might be found and checked against
the machine solution.
3. In physical problems, the results are usually continuous,
and the machine can be programmed to check high-order
differences and cause an alarm to signal the operator if
these vary too much.
4. Special problems with known results may be designed to
test certain sections of the machine. In this manner the
machine may be stopped at various stages of the solution
and the machine results compared with the known results.
436 PHYSICAL COMPONENTS AND METHODS
The machine operation at which the first error is made
can be located in this manner.
5. To check for intermittent errors, it may be sufficient to
repeat the same problem two or more times. The results
of the two runs may be checked in a comparator and the
presence of any discrepancy detected.
The ENIAC has indicator lights to represent the digits in each
register. There is also provision for supplying the computer with
one clock pulse at a time. Thus, an operator can run off the
problem at low speed and observe the effect of each pulse on the
quantities in the register, and the sources of error can be located
quite accurately. This step-by-step operation is not feasible
in a machine which uses dynamic storage mediums, since these
generally depend upon a constant high-frequency pulse rate in
order to maintain synchronism.
The advantages of a machine which handles data in a serial
fashion have been cited previously. Since there is less equip-
ment, errors due to a failure are likely to show up soon after the
failure occurs, and the number of steps required to locate the
source of the trouble thereafter is usually small. On the other
hand, if the serial machine has dynamic storage, it cannot be
slowed down readily for the step-by-step check just described.
In any case, a systematic program of periodic checks is desirable
so that errors which are not detected by low-level checks will be
found within a reasonable time after they occur.
Perhaps the best example of a low-level check is that incor-
porated in the Bell Telephone Laboratories machines, which
employ a biquinary representation of numbers.8,9 In this
representation, one group of five relays indicates the digits from 0
through 4, and a second set of two relays represents the digits 0
and 5. Thus each decimal is represented by one relay in each
set, which allows a simple check to be made on the operation of
the relays. Each one has extra contacts which are connected
in an alarm circuit so that they indicate any situation in which
more or less than one relay in each pair of sets is actuated simul-
taneously. Thus, the failure of one relay to operate because of
dust between the contacts of another relay is detected. The
operation of a relay which is not supposed to operate is also
detected. These situations cause the equipment to stop operat-
FACTORS AFFECTING CHOICE OF EQUIPMENT 437
ing until the trouble is cleared. The biquinary check fails when
two compensating failures occur simultaneously, but this possi-
bility proves to be very remote.
Another possibility for low-level checking is to provide two
identical accumulators which operate on the same digits simul-
taneously. Anticoincidence circuits note any difference in
condition between the two accumulators and stop the computa-
tion if such differences occur. This duplication might be fairly
economical if the extra accumulator were used for shifting to the
right or to the left in the accumulator, so that the shift is accom-
plished by transferring the number from accumulator 1 to
accumulator 2 and readjusting accumulator 1 to agree with
accumulator 2.
Duplicate systems and anticoincidence circuits may also be
used at other critical units in order to detect incorrect operation.
In the computer proposed by the Raytheon Company,6 self-
checking and diagnostic equipment is provided throughout.
It is estimated that the proposed checking system demands the
use of about 20 per cent additional equipment. The checking
covers all storage and transfer of words, all arithmetic opera-
tions, all selections made by the memory, and most other machine
processes.
For example, to check the storage and transfer of numbers,
R. M. Bloch has devised a system employing a check number
associated with each number. This check number is merely a
weighted sum of the binary digits in the number. When a new
number is constructed in the arithmetic unit, or is introduced
into the machine, it is provided with a check number, which is
then stored with it. When the original number is withdrawn
from storage, a new weighted sum is computed and compared
with the old one which was stored with it. Any discrepancy
between the new and old weighted sums indicates an error made
during storage or transfer. These check numbers can also be
used to check arithmetic operations.
17-3-2. Human Errors. Perhaps the ultimate computing
machine will take data from measuring devices, automatically
convert them to the desired form for the computer, perform the
required computations, and deliver the written results in the
optimum written form. Even though the operator is eliminated
as an intermediate handler of the data, instructions must still
438 PHYSICAL COMPONENTS AND METHODS
be prepared for the computer so that it will perform the proper
operations These instructions are first formed in terms of the
mathematical steps desired and finally are written on a per-
manent storage medium for automatic introduction into the
computer. The intermediate process of expressing the mathe-
matical steps in signals to the computing machine is known as
coding. Coding may become a rather long and tedious process
for some problems, and it may be advantageous to employ small
computers to do the detail work in coding problems for the larger
machines. In any case, it is possible to compare one coded
medium with another, but the original assignment of instruc-
tions must be checked either mentally or by experimenting on a
sample problem whose solution is known.
Two methods have been proposed for checking the work of the
operator in writing the data and instructions on the input
mediums.5 As an example, consider the preparation of tapes
with a keyboard. It is possible for two operators to prepare
tapes at the same time. These two tapes are compared auto-
matically, and only those marks which are identical on the two
are admitted to the machine. Any difference in the two tapes
stops the machine and signals the two operators, who must
resolve the difference before entry of data into the machine can
continue.
In a slight variation of this idea, one tape is made up in
advance, and an operator simulates the preparing of the tape a
second time. As he operates the keyboard the second time, a
typed record of his work is prepared for visual inspection. His
typing is also automatically compared with the data on the
original tape, and all identical data are inserted in the final tape.
A discrepancy in the two stops the machine and indicates the
error to the operator. Since he has the manuscript before him,
the operator can compare it with what he has just typed and
immediately resolve the difference.
17-3-3. Location of Source of Errors. The sources of errors
in computing equipment may be located with the aid of several
of the devices which have been discussed in the sections on
reliability and checking machine errors. For example, indicating
fuses, neon lamps in resistor and capacitor circuits, and neon
lamps to indicate the quantities in registers are all valuable aids
to a technician who is thoroughly acquainted with the functioning
FACTORS AFFECTING CHOICE OF EQUIPMENT 439
of the computer. After troubles have been traced to one unit,
it can be removed from the computer and subjected to diagnostic
circuit tests if required.
17-4. Size, Cost, and Speed
Table 17-1 shows the number of digits which can be retained
in various storage mediums for a unit cost and in a unit volume.
Table 17-1
Maximum convenient
speed, digits per second
Digits per
Digits per
Medium
dollar
cubic foot
Remarks
Recording
Reading
Electromechanical
relays*
0.2-1
300
100
100
Electronic relays*.
0.2-1
300
107
107
Punched cards ....
2.5 X 105
9 X 106
2.5 X 103
5 X 103
103 binary digits per
card, 0.4 cents per card
Teletype punched
3 X 10«
3 X 107
50
50
Mechanical sensing,
tape
0.05 cents per foot
Teletype punched
3 X 106
3 X 107
50
7 X 103
Optical sensing at 10
tape
feet per second, 0.05
cents per foot
Thirty-five-milli-
6 X 10*
3 X 107
100
10*
Mechanically punch-
meter film,
ed, optically read at
punched
10 feet per second,
2 cents per foot
Wide punched tape.
105
2 X 107
6 X 102
6 X 10*
Mechanically punch-
ed, optically read at
10 feet per second
Thirty-five-milli-
108
109
6 X 105
6 X 105
Optical sensing of 0.01-
meter photo-
by 0.02-inch spots,
graphic film
10 feet per second,
5 cents per foot
Magnetic wire
2.5 X 10«
10io
10*
10*
0.004-inch diameter,
0.010-inch bauds, 10
feet per second, 0.05
cents per foot
Magnetic tape
107
3 X 109
105
105
J<4-inch tape, five par-
allel tracks, 0.020-
inch digit spaces, 10
feet per second, 0.1
cent per foot
Mercury delay line.
2 X 10*
lO"
1 X 106
RG-64U cable
5
106
5 X 106
Selectron*
103
10*
5 X 103
Deflection cathode-
ray tube*
102
105
2.5 X 105
* Parallel storage; access time equal to reading time plus writing time.
440 PHYSICAL COMPONENTS AND METHODS
An approximation of practical reading and writing speeds is
also given. The figures shown in this table are by no means
precise, but may be of value in making order-of-magnitude
estimates.
REFERENCES
Reliability of Components
1. Brotherton, M., Capacitors (D. Van Nostrand Company, Inc., New
York, 1946), pp. 45-55.
2. Eckert, J., Jr., Reliability of Parts in Theory and Techniques for the
Design of Digital Computers, Vol. II (Moore School of Electrical Engi-
neering, University of Pennsylvania, Philadelphia, 1948), pp. 20-1-
20-13.
3. Michael, F. R., Tube Failures in ENIAC, Electronics, Vol. 20, No. 10,
pp. 116-119 (October, 1947).
4. Radio Corporation of America, Special Red Tubes (RCA Tube Depart-
ment, Harrison, N.J., 1948). Pamphlet.
Possibilities for Checking
5. Alexander, S. N., Input and Output Devices for Electronic Digital Calcu-
lating Machinery, Annals of the Computation Laboratory of Harvard
University, Vol. XVI, pp. 248-253 (1948).
6. Bloch, R. M., R. V. D. Campbell, and M. Ellis, The Logical Design
of the Raytheon Computer, Mathematical Tables and Other Aids to Com-
putation, Vol. Ill, No. 24, pp. 286-295 (October, 1948).
7. Eckert, J. P., Jr., Reliability and Checking in Theory and Techniques
for the Design of Digital Computers, Vol. IV (Moore School of Electrical
Engineering, University of Pennsylvania, Philadelphia, 1948), pp.
35-1-35-16.
8. Williams, S. B., Reliability and Checking in Digital Computing Systems
in Theory and Techniques for the Design of Digital Computers, Vol. IV
(Moore School of Electrical Engineering, University of Pennsylvania,
Philadelphia, 1948), pp. 34-1-34-16.
9. Williams, S. B., Bell Telephone Laboratories Relay Computing System,
Annals of the Computation Laboratory of Harvard University, Vol. XVI,
pp. 41-53 (1948).
Size, Cost, and Speed
10. Sheppard, C. B., Transfer between External and Internal Memory,
Annals of the Computation Laboratory of Harvard University, Vol. XVI,
pp. 267-271 (1948).
INDEX
Abacus, 4
Aberdeen, Md., Ballistic Research
Laboratories, 191, 194-195, 201,
214-215
Abramowitz, M., 102
Access time, defined, 304
Accumulator, counter-type adder as,
269
denned, 293
ENIAC, 52-54
parallel ring, 293-294
Accuracy, defined, 224
Adams, method of, 127-128
Adder, algebraic, 280-285
binary, amplitude-type, three-in-
put, 286
two-input, 285-286
coincidence-type, three-input,
276-280
two-input, 269-276
coded decimal, 289-293
decimal, 45-48
diode matrix, 293
half, 270-272, 288-289
parallel, 49-54, 293-294, 297-299
RCA computron tube, 293
serial, 45-49, 272-280, 294-295
ternary, 287-289
types of, denned, 269-270, 285,
293
Addition, algebraic, 283
by analog, electronic, 238
mechanical, 225
binary, 271-276
on desk calculators, 136-137
excess-3 coded decimal, 290
on punched-card equipment, 153,
158, 162
ternary, 287-288
Addition table, binary, 80
octal, 80
ternary, 287-288
Aiken, Howard H., 123, 183, 200
Aitken's method of interpolation,
108-109
Alcohol, sonic properties of, 346
Algebraic equations, solution of, by
analog methods, 240, 242-245
numerical, 117-126
Algebraic sign, representation of, 15,
283-285
Amplifier, Ampec, 425-426
transistor, 422-423
traveling-wave tube, 421
Analog computer, defined, 4, 223
Analog computers, 4, 223-245
electrical, 238-245
electronic, 237-240
mechanical, 225-237, 242-243
And circuit, 37
Anti-Rossi circuit, 44-45
Armstrong frequency discriminator,
423
Automatic sequence-controlled cal-
culator, denned, 63
Automatic Sequence Controlled Cal-
culator, IBM, 182-185
(See also Harvard computer,
Mark I)
B
Ballistic Research Laboratories, Ab-
erdeen, Md., 191, 194-195, 201,
214-215
Bargmann, V., 100
Bateman, H., 100, 126
Beard, R. E., 237
Bell Telephone Laboratories (BTL),
182, 187-191, 391-394, 401,
421-422, 435-436
441
442
INDEX
BTL computers, Model I, 187
Model II, 188
Model III, 188
Model IV, 188
Model V, 182, 188-191
Model VI, 182, 191
BTL converters, data, 390-394
speech, 401
BTL transistor, 422-423
BTL traveling-wave tube, 421
Bennett, A. A., 100, 126
Berkeley, E. C, 5
Berry, C. E., 244
Bessel's formula for interpolation,
106-107
BINAC, 182, 203, 214, 348
Binary coded decimal system, 205,
289-290
conversion to decimal, 413-414
Binary system, 80-82, 91-94
conversion to decimal, 78-79, 90
conversion to octal, 42-43, 83
Biot, M. A., 100
Biquinary system, 76, 189, 436-437
Bloch, R. M., 65, 437
Bratt, J. B., 237
Brown, G. S., 403
Brown, G. W., 244
Brown, S. L., 245
Brunetti, Cledo, 424
Buckingham, R. A., 237
Buffer, 44-45
Bureau of Standards, National
(NBS), 202, 214-215, 354
Burks, A. W., 62, 65, 91, 96, 201
Burroughs Adding Machine Co., 135
desk calculators, 140
Bush, V., 228, 230
Calculating Punch, IBM, 153, 157-
158, 162
Caldwell, S. H., 228, 230
California, University of, 214
at Los Angeles (UCLA), 229,
236-237
Campbell, R. V. D., 65
Capacitors, reliability of, 433
as storage medium, 354
Card-programmed Calculator, IBM
Electronic, 165
Card-reading equipment, 151-152
Carmichael, R. D., 74
Carry, 273-281, 290-294, 297-299
double, 297
end around, 298-299
simultaneous, 297
Checking, 205, 434-439
in BTL machines, 435-437
duplicate input method, 438
in ENIAC, 435
high- and low-level, defined, 435
in SDC Raytheon computer, 437
in UNIVAC, 205
Christmas-tree circuit, 377
Coded decimal system, excess-3, 205,
289-293, 413-414
Coding, defined, 10, 438
Coincidence circuit, defined, 37
high-speed, 379
Collator, IBM, 153-155, 161-162
Command forms, 10, 59-72
Complement, 87-89
Component, computing, denned, 3
Computing services, IBM, 164
Computron adder tube, 293
Comrie, L. J., 135
Consolidated Engineering Company,
244
Control elements, 10
Conversion, data, 33, 395-416
(See also Converter, data)
radix, binary-to-octal, 42-43, 76,
83-84, 86
binary-to-decimal, 75, 78-79,
412-413
fractional numbers, 90
decimal-to-binary, 75, 411
octal-to-binary, 43, 76, 83-84, 86
table, 75, 86
theorem, 78
proof of, 96-98
Converter, data, analog-to-digital,
386-393
curve-following, 402-404
INDEX
443
Converter, data, microfilm, 389-390
photographic-film type, 388-
390
p.c.m., 390-393
wind-tunnel, 151
digital-to-analog, 393-396
in MIT differential analyzer,
395
p.c.m., 393-394
rotation type, 394-395
Selectron, 395-396
parallel-to-serial, 268
radix, 42-43, 410-414
binary-to-octal, 42-43
decimal-to-coded-decimal, 413-
414
octal-to-binary, 43
serial-to-parallel, 268
speech, 401
Counter, electromechanical, 12-13,
388
electronic, binary, 13-19
pentode flip-flop, 25-26
with single input, 15
triode flip-flop, 14
with two inputs, 16
decade, 26
modified-binary, 27-28
pentode flip-flop, 26
scaler, 27, 29
ENIAC, 23-25
ring, as adder, 293-294
pentode flip-flop, 26
thyratron, 21-22
triode, 20-21, 23-25
modulo r {see Counter, electronic,
ring)
rotation, photographic film, 388-
390
stripped gear, 387-388
Veeder-Root, 388
Counting, on punched-card equip-
ment, 153, 158, 160-161
Counting systems, 74-77
Counting theorems, 77-79
Crystals, reliability of, 432-433
Curtis, R. W., 424
Curve-followers, 229, 402-404
Darmstadt, Technische Hochschule,
403
Decade counter, pentode pair, 26
triode pair, 23-25
Decade ring, pentode, 26
triode, 23-25
Decade scaler, 27
Decimal adder, 45-48
Decimal counter, 23-29
Decimal point, floating, 91, 185, 189
in radix conversion, 89-90
Decimal system, 74-79, 90, 411-413
Delay, defined, 303
Delay line {see Storage, delay line)
Descartes' law of signs, 124
Desk calculators, 135-145
Burroughs, 140
Friden, 140-141
manufacturers of, 135
Marchant, 141
Monroe, 142
operation of, 136-138
Remington Rand, 142
Difference tables, 102, 105
Differential analyzer, 230-240
electronic, 237-239
G.E., 236-237
MIT, 230-236
UCLA, 236-239
Differential equations, 126-130, 240
solution of, numerical, 126-130
with network analyzer, 240
Differential gears, 225
Differentiation, by analog, elec-
tronic, 238-239 "
mechanical, 227-229
numerical, 109-111
Digital computer, defined, 3
table of current U.S. projects,
214-215
Division, by analog, mechanical, 228
approximate formula for, 60-61
binary, 82-83, 91-94
on desk calculators, 137
octal, 83
444
INDEX
Division, on punched-card equip-
ment, 153, 158, 162
Durfee, B. M., 183
Dvorak, A., 398
E
Echoes, in sonic delay lines, 344
Eckert-Mauchly Computer Corp.,
203, 214, 433
EDVAC, 200, 215
Elementary Potential Digital Com-
puting Component (EPDCC),
defined, 12
Ellis, M., 65
End-around carry, 89
Engineering Research Associates,
Inc. (ERA), 91, 208-213, 336-
338, 407
ENIAC, 182, 194-198, 214
accumulator, 52-54
addition in, 52-54
decade counter, 23-25
operating history of, 432-438
plus-minus indicator, 15
pulse transfer in, 375-377
subtraction in, 51
Equations, algebraic, 117-126, 240,
242-245
differential, 126-130, 240
simultaneous, 125-126, 242-245
transcendental, 117-120
Euler-Maclaurin formula, 112
Excess-3 code, 205, 289-293, 413-
414
Exponential function, generation of,
230
Failure of components, indications
of, 434, 438-439
intermittent, 434
persistent, 434
False position, method of, 119
Federal Telephone and Radio Corp.,
352, 354, 391
Feedback, in electronic differential
analyzer, 239
Feller, W., 108
Fixed-cycle operation, 269
Flip-flop, 13-17, 25-26, 28, 312
cathode-ray tube, 28
pentode, 25-26
pulse-sensitive, 17
operating speed of, 312
triode, 14
tube characteristic inversion, 28
Floating decimal point, 91, 185, 189
Ford, L. R., 100
Franklin Corporation, 426
Frequency-discrimination equip-
ment, 423-424
Friden Calculating Machine Co.,
Inc., 135, 140-141
desk calculator, 140-141
Gate, 37-42, 377-379
common cathode, 39
defined, 37
diode, 41-42, 379
dual grid, 37-38
inverse, 44-45
multiple, 377-379
parallel, 38
resistance grid, 40
Rossi, 38
Gauss, formula of, for numerical
integration, 113, 115
Gears, differential, 225
General Electric Co. (G.E.), 236,
240, 354, 406
G.E. differential analyzer, 236-237
General-purpose computer, defined,
252
factors affecting choice of, 260-261
Globe Wireless Co., 400-401
Globe Union Co., Centralab Div.,
425
Goldberg, E. A., 244
Goldstine, H. H., 62, 65, 91, 96, 201
Graeffe, root-squaring method of,
123-125
INDEX
445
Haeff, Andrew V., 365
Haeff storage tube, 365-366
Half-adder, 270-272, 288-289
Haloid Corporation, 322
Hamilton, F. E., 183
Harmonic analysis, 245
Hartree, D. R., 5, 230, 237
Harvard University Computation
Laboratory, 13, 200, 214, 406
Harvard computer, Mark I, 13, 35-
36, 182-185, 214, 434
description of, 182-185
indication of failures in, 434
relays used in, 35-36
Mark II, 36, 182, 185-187, 214,
311-313
description of, 185-187
relays used in, 36, 311-313
Mark III, 182, 200, 214
description of, 200
Hazen, H. L., 403
Hermite, interpolation formula of,
109
Illinois, University of, 215
Impedance, acoustic, 343
Input, defined, 6
Input equipment, 6-7, 150-152,
396-404
punched card, 150-152
(See also descriptions of vari-
ous computers)
Input table, for differential analyzer,
229
Institute for Advanced Study,
Princeton, N.J., 201-203, 215
Integration, by analog, electronic,
237-239
mechanical, 227-230
numerical, 111-116
Integrator, inverse, 228
wheel-and-disk, 227-230, 232, 236
Interfiling Reproducing Punch, Rem-
ington Rand, 158-159
International Business Machines
Corp. (IBM), 13, 147, 151, 163,
312
IBM accounting machines, 153-158,
160-165
applications of, to scientific work,
164
Collator, 153-155, 161-162
Multiplier, 153-156
Punch, Calculating, 153, 157
Electronic, 153, 157-158
Reproducing, 162-163
Punched Hole Verifier, 151
Sorter, 153-154, 160-161
Tabulator, 153, 155-156, 160, 162
IBM punched card, 148-150
IBM sequence-controlled calcula-
tors, Automatic Sequence Con-
trolled Calculator, 182-185
(See also Harvard computer,
Mark I)
Card-programmed Electronic Cal-
culator, 165
Pluggable Sequence Relay Calcu-
lator, 182, 191-193
Selective Sequence Electronic Cal-
culator, 182, 198-200
Interpolation, 100-109
Aitken's method, 108-109
Bessel's formula, 106-107
defined, 100
inverse, 108
Lagrange's formula, 107-108
Newton's formulas, 103-104
by proportional differences, 108-
109
Stirling's formula, 104-106
trigonometric, 109
Inverse gate, 44-45
Inverse, iteration methods for find-
ing, 122-123
Isolating circuits, 44-45
Jaeger, J. J., 403
Jump, 67
Justo writer Company, 401
446
INDEX
K
Kallmann, H. E., 349-352
Kelvin wheel-and-disk integrator,
227-230
Keyboards, 397-399
Burroughs, 397-398
Dvorak, 398
stenotype, 398-399
Sundstrand, 397
teletypewriter, 398
Kilburn, T., 366
Klystron, 421-422
Laderman, J., 102
Lagrange's formula for interpolation,
107-108
Lake, C. D., 183
Lennard-Jones, J. E., 237
Linear mapping, 94-95
Link Paper Co., 317
Logarithm, generation of, 230
Logic, computing-machine, defined,
62
rules of, applied to arithmetic
elements, 270-285
Logical and circuit, 37
Logical or circuit, 44-45
M
Magic-T, 423
Magnetic drum, as cyclic storage
system, 304-306
ERA design standards for, 336-
339
recording {see Recording, mag-
netic)
speed changers, 415
Magnesium, sonic properties of, 344,
346
Mallock's circuit, 243-244
Manchester, University of, 354
Marchant Calculating Machine Co.,
135
desk calculator, 141
Margenau, H., 100, 125
Massachusetts Institute of Tech-
nology (MIT), 214, 229-230
MIT digital computer (Whirlwind
I), 214
MIT differential analyzers, 230-236
MIT storage tube, 354, 364-365
Massey, H. S., 237
Matrix calculations, 126
Matrix, diode, 40-43, 413-414
resistor, 40-41
Mayan system of arithmetic, 76-77
Memory (see Storage)
Mercury, sonic properties of, 306,
342-348
table of, 346
storage systems, 306-308, 341-348
(See also Storage, delay line)
Millen, James, Co., 354
Milne, method of, 129-130
Modulation, pulse code (p. cm.),
390-394
Modulo, defined, 15
Monoscope, 408
Monroe Calculating Machine Co.,
Inc., 135
desk calculator, 142
Montgomery, D., 100
Moore, B. L., 200, 339
Moore School of Electrical Engineer-
ing, University of Pennsylvania,
194, 200, 214-215
Morley, S. G., 76
Morton, G. A., 369
Multiharmonigraph, 226, 238, 245
Multiplication, by analog, elec-
tronic, 238
mechanical, 226-228
binary, 80-81
table, 81
on desk calculators, 137
octal, 81-82
table, 81
on punched-card equipment, 153,
158, 162
Multiplier, IBM, 153, 156
parallel, 299-301
Remington Rand, 158, 160
INDEX
447
Multiplier, serial, 295-297
slide, 226
Murray, F. J., 237
Murphy, G. M., 100, 125
N
NACA, 214
National Bureau of Standards
(NBS), 202, 214-215, 354, 407
Naval Proving Ground, Dahlgren,
Va., 91, 185, 191, 214
Naval Research Laboratory (NRL),
computers, 188
NRL storage tube, 354, 365-366
Negative number, representation of,
87-89
Network analyzers, 240-242
Newton-Cotes formula, 112
Newton's formula, applied to numer-
ical differentiation, 110
for backward interpolation, 104
for forward interp-^ation, 103-104
Newton-Raphson method, 117-119,
125
Northrop Aircraft, Inc., 203, 341
Number, denned, 302
Number representation systems, bi-
nary, 75-76
binary-coded dscimal, 205
biquinary, BTL, 76, 189
British monetary, 77
decimal, 74
octal, 76
table of, 86
tetraquinary, Mayan, 76
vigesimal, Mayan, 76-77
(See also descriptions of various
computers)
Number theorems, 78-79, 89
proofs of, 96-99
Numerical analysis, 100-130
Numeroscope, 406-407
Octal system, 76, 80-83
addition in, 80
division in, 83
multiplication in, 81-82
Octonary (see Octal system)
Off-line operation, 7, 260-261
O'Neal, R. D., 319, 339
On-line operation, 7, 260-261
Optical recorder, 321
Or circuit, 44-45
Output equipment, 10-11, 229, 404-
410
differential analyzer, 229
printing, counter-wheel, 410
electric typewriter, 229, 405
gang, 405-406
photographic, 406-407
Veeder-Root, 410
punching, 229
recording, 408-410
(See also descriptions of various
computers)
Parallel-to-serial conversion, 267-
268
Pennsylvania, University of, 194,
200
Periodic functions, interpolation of,
109
Photographic film, as storage me-
dium, 319-322
Point, radical, 89-91
Porter, A., 237
Potted circuits, 426-427
Pound, R. V., 423-424
Precision, defined, 224
Printed circuits, 424-426
Printer, gang, 406
IBM, 155-156, 406
numeroscope, 406-407
photographic, 406-408
Remington Rand, 158-160, 406
Program, example of, for automatic
sequence-controlled calcula-
tor, 69-71
for desk calculator operator,
58-62
relationship of, to computer de-
sign, 252-261
Pulse code modulation, 390-393
Pulse transfer, 374-379
448
INDEX
Punched card, Hollerith, 146
IBM, 148-150
Powers, 150
Remington Rand, 150
Punched-card computing systems,
146-181
IBM, 151-158, 406
manufacturers of, 147, 163
Remington Rand, 152, 158-160,
406
(See also IBM; Remington
Rand.)
Punched Hole Verifier, Electric,
IBM, 151
Q
Quartz, sonic properties of, 346
R
Rack, A. J., 394
Radar, 305
Radical point, 89-91
RCA, electrical analog computer,
244
frequency-stabilization system,
424
miniature tubes, 422
storage tube, 354
Radix, choice of, 84-87, 420-421
conversion, binary-to-decimal, 75,
78-79, 412-413
fractional numbers, 90
binary-to-octal, 42-43, 76, 83-
84, 86
decimal-to-binary, 75, 79, 411
octal-to-binary, 43, 76, 83-84, 86
table, 75, 86
theorem, 78
proof of, 96-98
defined, 80
Rajchman, J. A., 363, 370
Raydist, 253-260
Raytheon Mfg. Co., adder, 297-298
computer, general description,
206-208
number representation in, 267
miniature tubes, 422
storage tube, 354
REAC, 239
Recording, magnetic, 322-339
digital, compared with sound,
325-326
design considerations, 334-
339
ERA, 336-338
number representation in,
328-332
number transfer in, 332-333
systems, 333-334, 336-339
transfer of digits in, 332-333
erasure of, 326-328
heads, 324-326
longitudinal, 325
mediums, 323-324
perpendicular, 325
process, 323-326
Reeves, A. H., 391
Reeves Instrument Corporation, 239
Register, defined, 295
BTL, 188-190
shifting, 297-299
Relay, electromechanical, 35-37,
235-236, 304, 311-314
wire brush, 312
electronic, 13-17, 25-26
(See also Flip-flop)
Relay computers, 182-193
Remington Rand, Inc., 135, 142,
147, 163
Remington Rand desk calculator,
142
Remington Rand punched card, 150
Remington Rand punched-card ma-
chines, 152, 158-160, 163
Punch, Alphabetical, 152
Interfiling Reproducing, 158-
159
Printing Multiplier, 158, 160
Reproducing, 152
Summary, 152
Synchro-Matic, 152
Sorter, 158-159
Tabulator, 158-160
Resistors, reliability of, 433-434
Ritt, J. F., 89
Robinson, G., 100, 125, 126
INDEX
449
Roots of equations, by method of
Graeffe, 123-125
by numerical methods, 117-126
Rossi circuit, 37-38, 379
high-speed, 379
Round-off error, 95-96
Runge-Kutta, method of, 128-129
Saturable-core reactor, 310
Scarborough, J. B., 100, 125, 126
Schrodinger equation, 241
Screw differential, 225
Secondary emission, 355-361
Secondary-emission ratio, 356
effective, 355-356
Seeley-Foster frequency discrimina-
tor, 423
Selective Sequence Electronic Calcu-
lator, IBM, 182, 198-200
Selectron, 308, 370-374, 395-396,
408
Sequence-controlled calculator, de-
fined, 63
Serial-to-parallel conversion, 267-
268, 303
Shannon, C. E., 230, 394
Shifting register, 297-299
Sign, algebraic, representation of,
15, 283-285
Simpson's one-third rule, 112, 114
Simpson's three-eighths rule, 112
Simultaneous equations, 125-126
Slide multiplier, 226
Slide rule, 4
Sonic delay lines {see Storage, delay
line, sonic)
Sonotone, 422
Sorter, IBM, 153-154, 160-161
Remington Rand, 158-159
Sound, transmission properties of,
306, 341-346
table of, 346
Special Devices Center (SDC) com-
puter, 206-208
Special-purpose computer, defined,
252
Special-purpose computer, factors
affecting choice of, 260-261
Speech converters, 401
Speed-changing devices, 414-416
Spinden, H. J., 76
Square, generation of, by electronic
circuit, 239-240
by integrator, 229-230
Square root, extraction of, by elec-
tronic circuit, 239-240
by numerical methods, 58, 120-
122
Stanford University, 350
Stibitz, George, 76
Storage, access time, 304
cyclic, denned, 304-308
mediums applicable to, 305-308
cycle, defined, 304
defined, 9, 302-303
delay line, 341-354
electromagnetic, 349-354
artificial transmission line,
353-354
waveguide, 350, 354
wire transmission line, 351-
352, 354
sonic, 304-308, 341-348
aqueous solution, 345
ethylene glycol, 342
magnesium, 342, 344
mediums, 341-342, 346
mercury, 306-308, 341-348
quartz, 344
structure of, 342, 347-348
transducers for, 342-346
dynamic, defined, 305
electrostatic, 354-374
Haeff tube, 365-366
Krawinkel tube, 369
Manchester tube, 366-369
MIT tube, 354, 364-365
NRL tube, 365-366
Selectron, 370-374
Williams tube, 366-369
Zworykin and Morton tube, 369
erasable, defined, 305
magnetic, 306, 322-339
erasure techniques, 326
450
INDEX
Storage, magnetic, digital signal
types, 328-332
system design considerations,
334-338
transfer schemes, 332-333
(See also Recording, magnetic)
mercury, 306-308
(See also Storage, delay line,
mercury)
noncyclic, defined, 304
mediums, applicable to, 308-310
nonvolatile, defined, 305
paper and pencil, 63
permanent, defined, 305
phosphor, 339-341
photographic, 318-322
punched tape, 314-319
relay, 311-314
static, defined, 304
ternary, 312, 420
volatile, defined, 305
(See also descriptions of various
computers)
Subtraction, by analog, electronic,
238
mechanical, 226
binary, 281-284
decimal, 47-51
on desk calculators, 51, 136-137
on punched-card equipment, 153,
158, 162
Subtracter, binary, 281-284
Sundstrand Keyboard, 397
Switching, in noncyclic storage sys-
tems, 308-310
Sylvania Electric Products, Inc.,
406, 422
Synchro-Matic Punch, Remington
Rand, 152
Table consulting, on punched-card
equipment, 153-155, 158, 161
Tables, mathematical, on IBM cards,
164
Tabulator, Alphabetic, IBM, 159
IBM, 153, 155-156, 160, 162
Remington Rand, 158-160
Tape-reading equipment, 151, 317-
318
Teledeltos paper, 410
Teleregister Corporation, 399
Teletype, operation of, 399-400
tape, as storage medium, 317-318
Ternary system, 84-87, 287-288,
312, 420
advantages of, 84-87, 420
Tetraquinary system, 76
Theorems, number, 78-79, 89
proofs of, 96-99
Transcendental equations, 117-120
Transducers, 342-348
ADP, 344, 346
quartz, 342-348
Transfer of control, conditional, 67
unconditional, 68
Transient analyzer, 241-242
Transistor, 422-423
Trigonometric interpolation formula,
109
Tube, traveling-wave, 421
Tubes, vacuum, reliability of, 432-
433
Tyler, A. W., 319, 339
Typewriter, Electromatic, 400
U
Underwood-Elliott Fisher Co., 102
UNIPRINTER, 205
UNITYPER, 205
UNIVAC, 203-206
University of California in Los
Angeles, 229, 236-237
Vigesimal system, 76
Von Karman, T., 100
Von Neumann, John, 62, 65, 91, 96,
100, 201
W
Watson Scientific Computing Labo-
ratory, 191-193
INDEX
451
Watson, T. J., 183
Weddle's rule, 112, 115
Weierstrass, theorems of, 101
Wheeler, L. L., 245
Whirlwind I computer, 214
storage tube for, 354, 364-365
Whittaker, E. T., 100, 125, 126
Wilbur's mechanism, 242-243
Wiener, Norbert S., 5
Wilkes, M. V., 237
Williams, F. C, 366
Williams tube, 202, 366-369
Word, 302
Wylie, J., 237
X
Xerography, 322
Zimmerman, K. H., 352
Zworykin, V. K., 369
a
^Of